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The purpose of this paper is to re-examine the statement of Peloza (2006) that enterprise corporate social responsibility (CSR) investment provides a protection efficacy similar to insurance.

This study uses the event study method and data from the 2008-2010 China listed company social responsibility report and the Taiwan Economic Journal.

The authors find that the insurance-like effect of CSR investment also exists in China. Both short- and long-term CSR investments of Chinese companies provide this efficacy to corporate stock prices. The authors also find diminishing marginal insurance-like effects in China market.

The CSR investment of firms in China can reduce company stock-price loss when negative events occur. The authors therefore obtain a better understanding of the value of enterprise CSR investment.

Purpose: This chapter explores the role of life course transitions, personal networks, community, and social support in the physical and mental health of LGBTQ+ elders. Specifically, we review the literature on formal and informal supports and resources available to LGBTQ+ elders as they age.

Methodology: We use an intersectional lens that explores dimensions of social identity and social location among diverse subpopulations within sexual and gender minority (SGM) elders. We outline the implications of access (or lack of access) to formal and informal care for SGM elders' physical and mental health and well-being in late life. We examine the availability of these supports in the context of broad inequalities and life events that structure the life course for LGBTQ+ elders and have long-term health implications.

Findings: Our findings from this review demonstrate how social factors over the life course shape SGM mental and physical health later in life for aging LGBTQ+ populations. We reflect on how strained relationships and lack of acceptance compel some to seek alternative sources of support and relationships. Our analysis uncovers individual and institutional sources of support: personal social networks and formal spaces, such as healthcare settings, that connect elders with resources to develop social support and avoid social isolation.

Implications: The implications of our review reveal the unique needs and barriers to practical and social support that SGM older adults face. We explore alternative supports that LGBTQ+ elders need compared with their heterosexual cisgender peers, given the disproportionate rejection they face in a range of public and intimate spaces. We conclude by identifying and celebrating sources of support and resilience as LGBTQ+ elders have crafted alternate support networks and advocated for increased recognition, rights, and care.

Originality and Value: Despite some recent flourishing of research in SGM health, a road map for scholars, practitioners, and community members outlining future research in understudied areas such as LGBTQ+ aging and transgender health would help advance scholarship and policy. Our commentary highlights quantitative and qualitative studies and suggests avenues for research that put in conversation literatures on rural studies, urban sociology, and social networks; gerontology; health; and gender/sexuality studies.

Minimising makespan aims to achieve high utilisation of equipment and resources by getting all jobs out quickly. This is an important scheduling criterion, especially for automated systems, because of the high investment cost. The problem, however, becomes complex when many parts and machines are involved. This is because different parts may require different numbers of operations, and there are many possible schedules. For small problems, a mathematical programming model for minimising makespan is formulated. For large problems, a sequencing algorithm based on decomposition and pairwise comparison is proposed. The idea of “total overlapping time” in the sequencing algorithm is introduced to determine the solution of each sub‐schedule. It maximises the number of jobs working at different machines at the same time, while satisfying the parts’ operation precedence and machine constraints. The differences between this method and the traditional graphical method are discussed. The sequencing algorithm significantly reduces the number of schedules for consideration and hence, the computational power required.

Past research argues that identity-linking messages must use established descriptors of the social group (i.e. prototypical identity appeals) to be effective. The authors show that less established descriptors (i.e. identity-linking messages low in prototypicality) can be optimal for an important customer segment, namely, for those that affectively identify with the social group. This is because of the distinct self-motives underlying the cognitive and affective social identity dimensions.

A pilot and two experimental studies were conducted, using gender and nationality as the target identities.

Consumers feel more hopeful and have higher purchase intention for products advertised using identity depictions that fit with their predominant (uncertainty-reduction or self-enhancement) self-motive. Consumers predominantly high in affective/cognitive social identity prefer identity-linking messages that are low/high in prototypicality. An abstract mindset reverses these effects by encouraging a similarity focus.

Future work should identify potential boundary conditions of the findings. Further, all studies use ascribed social groups. Future work should explore whether consumers relate differently to different social group, such as achieved groups, non-human groups or aspirational groups.

Adverts using established descriptors of a brand’s target social group may no longer fit the brand’s positioning. Understanding when and when not to use less established group descriptors to market brands is important for practitioners.

To the best of the authors’ knowledge, this is the first research to explore the conditions under which priming consumers’ identity using less/more established (i.e. low/high in prototypicality) descriptors has a beneficial, or detrimental, effect on consumers’ purchase intention. In understanding these effects, the authors draw on consumers’ self-motives underlying cognitive and affective identification, a distinction not yet made in the identity-linking communications literature. The authors also explore the mediating role of hope – a central motivating emotion – in identity marketing.

This study aims to examine the effect intellectual capital (IC) has on firm performance of Australian companies.

Quantitative data are collected for Australian companies listed between 2004 and 2008. IC is measured using Pulic's value added intellectual coefficient (VAIC) and its components (human, structural and capital employed efficiencies (HCE, SCE, CEE)). Direct and moderating relationships between VAIC, HCE, SCE, and CEE and four measures of performance are statistically analysed.

The results suggest that there is a direct relationship between VAIC and performance of Australian publicly listed firms, particularly with CEE and to a lesser extent with HCE. A positive relationship between HCE and SCE in the prior year and performance in the current year is also found. However evidence also suggests the possibility of an alternative moderating relationship between the IC components of HCE and SCE with physical and financial capital (CEE) which impacts on firm performance.

There are some missing data and some transgression of the assumptions of OLS regression.

This paper presents the first study of the IC relationship with firm performance in Australia. Inconclusive results from prior studies in developing countries suggested the need for a study from a developed country such as Australia. The paper is also the first to investigate whether IC moderates the relationship between CEE and firm performance.

The purpose of this paper is to apply Value Added Intellectual Coefficient (VAIC™) of Pulic to compare quoted information technology and communication companies on the Istanbul Stock Exchange (ISE), in terms of intellectual capital efficiency. This study also examines VAIC™, and its components' impact on company performance.

Multiple regression analysis was employed to identify the variables that significantly contribute to the company performance. Data required to calculate VAIC™ and its components were obtained from the 2005‐2007 annual reports and balance sheets of the companies.

As a whole, all the companies had a relatively higher human capital efficiency than structural and capital efficiencies. In 2007, Turkcell was the most efficient company based on VAIC™ assessment, while Link Bilgisayar and Plastikkart were the least efficient companies. Additionally, the results of the study revealed that factors such as human capital efficiency, firm leverage, and firm size, predicted profitability well. Among them, human capital efficiency had the highest impact. In addition, capital employed efficiency was found to be a significant predictor of both productivity and return on equity, and the only determinant of market valuation was the firm size.

This study allowed ITC companies to benchmark themselves according to the intellectual capital efficiencies and develop strategies to enhance their company's performance.

This study is the first that measures intellectual capital performance and its impact on the company performance of the quoted information technology and communication companies on the ISE.

This article analyzes the effects of artificial intelligence (AI) stimuli on customer engagement as well as on value co-creation. The moderating role played by customer ability readiness is also examined.

Total 426 questioners are collected from the customers who consumed intelligent service robot.

First, the perceived interactivity (PI) of AI stimuli have a significant positive impact on value co-creation; second, customer engagement plays a mediating effect on the relationship between PI and value co-creation; finally, customer ability readiness has a positive moderating effect on the relationship between AI stimuli, customer engagement and value co-creation.

Firstly, the method of questionnaire survey has certain limitations, In future research, more advanced survey methods (such as social perception calculations) can be used to make survey samples more comprehensive and analysis results more accurate. Secondly, the paper used a single-dimensional test for the two variables of customer engagement and value co-creation. Future research should divide the dimensions of customer engagement and value co-creation into more specific way. Finally, this study lacks research on the regulatory effect of customer ability readiness and further division of customer readiness.

First, this paper uses the arousal theory to participate in marketing theory and value co-creation theory, which is the cross and fusion of theory, and also the enrichment and expansion of the existing theoretical research, with a certain theoretical innovation. Second, based on previous research, this research developed and designed a measurement scale for AI stimuli. Finally, through empirical research, it is found that the perceived personalization of AI stimuli does not have a significant direct effect on value co-creation, which is a new views and insight.

First, when using intelligent customer service robots, companies should pay attention to improving the PI and personalization of intelligent customer service robots. Second, companies should attach importance to the development environment of customer engagement, proactively and effectively identify customer needs. Finally, companies should provide customers with a good support atmosphere, publicize and explain in advance the use of intelligent customer service robots to increase their confidence.

The study develops a scale of AI stimuli and is among the first to integrate and examine the inter-relationships between customer engagement, customer ability, and value co-creation from the increasingly important phenomenological perspective of AI.

The adoption of mobile payment remains low in certain regions, highlighting the need to identify the factors that enable and inhibit its adoption. This study aims to address this gap by investigating the role of information security, loss aversion and the moderating influence of the herd effect on Inertia and behavioral intentions in the adoption of mobile payment systems.

A structural equation model was developed and tested with 332 valid questionnaires to examine the proposed hypotheses.

The empirical results reveal that information security plays a significant role as an enabler, while loss aversion acts as an inhibitor of mobile payment adoption. Furthermore, the study uncovers the moderating influence of the herd effect on the relationship between Inertia and behavioral intentions.

This study was conducted in a specific region and may not be generalizable to other regions. Future studies could expand the sample size and scope to enhance the external validity of the findings.

This study offers practical implications for mobile payment service providers. Understanding the key enabling and inhibiting factors identified in this study can guide providers in designing and improving their services. Strengthening information security measures can help build trust among potential adopters, while offering incentives can mitigate the impact of loss aversion and encourage early adoption.

The findings of this study have social implications as they contribute to promoting the adoption of mobile payment systems. Increased adoption can enhance financial inclusion and stimulate economic development.

This study provides novel insights into the enabling and inhibiting factors of mobile payment adoption and highlights the moderating role of the herd effect. By shedding light on the influence of social norms on individual behavior in the context of mobile payment adoption, this study contributes to the existing literature and advances our understanding of this phenomenon.

In the Netherlands, thesis assessment quality is a growing concern for the national accreditation organization due to increasing student numbers and supervisor workload. However, the accreditation framework lacks guidance on how to meet quality standards. This study aims to address these issues by sharing our experience, identifying problems and proposing guidelines for quality assurance for a thesis assessment system.

This study has two parts. The first part is a narrative literature review conducted to derive guidelines for thesis assessment based on observations made at four Dutch universities. The second part is a case study conducted in one bachelor’s psychology-related program, where the assessment practitioners and the vice program director analyzed the assessment documents based on the guidelines developed from the literature review.

The findings of this study include a list of guidelines based on the four standards. The case study results showed that the program meets most of the guidelines, as it has a comprehensive set of thesis learning outcomes, peer coaching for novice supervisors, clear and complete assessment information and procedures for both examiners and students, and a concise assessment form.

This study is original in that it demonstrates how to holistically ensure the quality of thesis assessments by considering the context of the program and paying more attention to validity (e.g. program curriculum and assessment design), transparency (e.g. integrating assessment into the supervision process) and the assessment expertise of teaching staff.

Time pressure is the most common kind of work pressure that employees face in the workplace; the existing research results on the effect of time pressure are highly controversial (positive, negative, inverted U-shaped). Especially in the era of knowledge economy, there remains a research gap in the impact of time pressure on individual knowledge hiding. The purpose of this paper is to explore the impact of different time pressure (challenge and hindrance) on knowledge hiding and to explain why there is controversy about the effect of time pressure in the academics.

The authors collected two waves of data and surveyed 341 R&D employees in China. Moreover, they used regression analysis, bootstrapping and Johnson–Neyman statistical technique to verify research hypotheses.

The results show that challenge time pressure (CTP) has a significant negative effect on knowledge hiding, whereas hindrance time pressure (HTP) has a significant positive effect on knowledge hiding; job security mediates the relationship between time pressure and knowledge hiding; temporal leadership strengthen the positive impact of CTP on job security; temporal leadership can mitigate the negative impact of HTP on job security.

The findings not only respond to the academic debate about the effect of time pressure and point out the reasons for the controversy but also enhance the scholars’ attention and understanding of the internal mechanism between time pressure and knowledge hiding.