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The global market for cloud gaming is growing rapidly. How gamers evaluate the service quality of this emerging form of cloud service has become a critical issue for both researchers and practitioners. Building on the literature on service quality and software as a service, this study develops and validates a gamer-centric measurement instrument for cloud gaming service quality.

A three-step measurement instrument development process, including item generation, scale development and instrument testing, was adopted to conceptualize and operationalize cloud gaming service quality.

Cloud gaming service quality consists of two second-order constructs of support service quality and technical service quality with seven first-order dimensions, namely rapport, responsiveness, reliability, compatibility, ubiquity, smoothness and comprehensiveness. The instrument exhibits desirable psychometric properties.

Practitioners can use this new measurement instrument to evaluate gamers' perceptions toward their service and to identify areas for improvement.

This study contributes to the service quality literature by utilizing qualitative and quantitative approaches to develop and validate a new measurement instrument of service quality in the context of cloud gaming and by identifying new dimensions (compatibility, ubiquity, smoothness and comprehensiveness) specific to it.

This research examines how universities enhance the virality of their social media messages among students. Specifically, we explore whether and how positive affective content in universities’ social media posts can influence sharing behavior. We also investigate the mediating roles of perceived effort and positive emotional reaction, as well as the moderating effect of visual content (i.e. photos).

Drawing upon the emotions as social information model, we conducted (1) an online experiment (N = 222) and (2) text analysis of 1,269,798 Twitter posts extracted from the accounts of 94 UK universities over 11 years (2010–2020) to test our hypotheses.

The findings show that social media posts containing positive affective content encourage sharing behavior and the relationship is mediated by both perceived effort and positive emotional reaction. An additional finding suggests that the use of visual content (photos) strengthens the relationship between positive affective content and sharing behaviors through an interaction effect.

This study contributes to the scant research focusing on positive affective content in the higher education context. The findings shed light on how universities could create social media communications that engage current and prospective students.

This paper looks at mainstream lesbian, gay, bisexual, transgender, queer, intersex and asexual (LGBTQIA+) support services in Aotearoa New Zealand, which predominantly center white queer voices and services and fail to account for the intersectional identities of young ethnic queers.

This exploratory, qualitative study investigated the social and professional support experienced and responded to by 43 young ethnic queers living in Aotearoa New Zealand, who were between 18 and 35 years of age. Participants identified as queer, non-binary, gay, pansexual, demisexual, gender fluid, non-binary and trans among others and held ethnic heritage from Africa, Asia, the Middle East and the Americas. Persadie and Narain's Mash Up methodological approach (2022) was used to analyze the data. Mash Up allowed us to understand the intersectional spaces of queer ethnic lives in white-dominated spaces, the ways in which young ethnic queers resisted the marginalization of their racialized being and took agency to counter actions and decisions that negated their presence and intersectional identities.

The findings from the study showed that young ethnic queers responded to the lack of adequate support services by establishing their own voluntary organizations and support networks. The study revealed that ethnic queer young people were critical of the white-dominated LGBTQIA+ support organizations; they created their own transformative spaces where they found “family” and community where they could be open about their queerness without the fear of rejection and stigma, while still advocating for equitable resources and an intersectional approach in queer mainstream services.

This paper provides valuable information on the lack of support for queer ethnic young people in Aotearoa New Zealand. The absence of information on the needs of this group poses a challenge to government departments, which rely on data to inform policy and allocate resources. The limited research and knowledge of this community make them less visible and, consequently, less likely to be given resources. It also means that harmful practices and behaviors toward queer ethnic young people by families and communities are more likely to go unnoticed and unaddressed. The paper also shows that the agency of young ethnic queers to create their own transformative spaces and to challenge the white-centric spaces, which have failed to consider their intersectional identities, has been instrumental to their well-being.

The main aim of this study is to examine the effect of virtual store atmospheric factors on impulsive purchasing in the metaverse context.

Grounded in purposive sampling, 451 individuals with previous metaverse experience were recruited to accomplish the objectives of this research. Next, to identify both linear and nonlinear relationships, the data were analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) approaches.

The findings underscore the significance of the virtual store environment and online trust in shaping impulsive buying behaviors within the metaverse retailing setting. Theoretically, this study elucidates the impact of virtual store atmosphere and trust on impulsive buying within a metaverse retail setting.

From the findings of the study, because of the importance of virtual shop content, practitioners must address its role in impulse purchases via affective online trust. The study’s findings are likely to help retailers strategize and improve their virtual store presentations in the metaverse.

The discovery adds to the understanding of consumer behavior in the metaverse by probing the roles of virtual store atmosphere, online trust and impulsive buying.

This study aims to validate the link between production manipulation and a firm’s performance variability (fundamentals and stock returns). It explores whether executives' risk-taking incentives encourage production deviations around the normal level during uncertainty.

Utilizing panel data of manufacturing firms from Compustat over three decades, the study investigates production management practices during economic uncertainty. The Economic Policy Uncertainty Index (EPU) is employed as a key metric. The empirical strategy involves documenting the effect of economic uncertainty on overproduction and underproduction, examining the role of executive compensation and assessing the impact on risk.

The research finds that risk-taking incentives increase over/underproduction, particularly amplifying the extent of underproduction during uncertainty. Production deviation rises, indicating that firms take greater risk by engaging in abnormal business operations. The study’s results are robust against various econometric methods, emphasizing the influence of risk-taking incentives on corporate production decisions.

While providing valuable insights, the study acknowledges inherent limitations, including factors influencing production decisions beyond risk-taking incentives. Further research could explore additional determinants for a comprehensive understanding.

The findings highlight the potential dark side of executive compensation that motivates suboptimal risk-taking decisions, impacting risk, cost of capital and firm performance. Policymakers and compensation committees can use these insights to design efficient systems that mitigate moral hazard problems associated with productivity changes.

The study emphasizes the broader social implications of production manipulation under uncertainty. It prompts discussions on the ethical considerations of managerial opportunism, its potential consequences for stakeholders and market dynamics.

This study contributes to the literature by examining the role of economic uncertainty on production manipulation and the influence of risk-taking incentives. It extends the earnings management literature by considering real activity manipulation and emphasizing the importance of decomposing production deviation into positive and negative values.

The purpose of this paper is to systematically analyze the literature around regulatory compliance and market manipulation in capital markets through the use of bibliometrics and propose future research directions. Under the domain of capital markets, this theme is a niche area of research where greater academic investigations are required. Most of the research is fragmented and limited to a few conventional aspects only. To address this gap, this study engages in a large-scale systematic literature review approach to collect and analyze the research corpus in the post-2000 era.

The big data corpus comprising research articles has been extracted from the scientific Scopus database and analyzed using the VoSviewer application. The literature around the subject has been presented using bibliometrics to give useful insights on the most popular research work and articles, top contributing journals, authors, institutions and countries leading to identification of gaps and potential research areas.

Based on the review, this study concludes that, even in an era of global market integration and disruptive technological advancements, many important aspects of this subject remain significantly underexplored. Over the past two decades, research has lagged behind the evolution of capital market crime and market regulations. Finally, based on the findings, the study suggests important future research directions as well as a few research questions. This includes market manipulation, market regulations and new-age technologies, all of which could be very useful to researchers in this field and generate key inputs for stock market regulators.

The limitation of this research is that it is based on Scopus database so the possibility of omission of some literature cannot be completely ruled out. More advanced machine learning techniques could be applied to decode the finer aspects of the studies undertaken so far.

Increased integration among global markets, fast-paced technological disruptions and complexity of financial crimes in stock markets have put immense pressure on market regulators. As economies and equity markets evolve, good research investigations can aid in a better understanding of market manipulation and regulatory compliance. The proposed research directions will be very useful to researchers in this field as well as generate key inputs for stock market regulators to deal with market misbehavior.

This study has adopted a period-wise broad-based scientific approach to identify some of the most pertinent gaps in the subject and has proposed practical areas of study to strengthen the literature in the said field.

The purpose of this study is to investigate how electronic word of mouth (eWOM) affects purchase intention and brand equity, and to further examine the mediating role of brand equity between eWOM and purchase intention among Indian consumers of branded apparel.

The data was collected from 303 consumers of branded apparel using an online questionnaire, and data were analyzed through structural equation modeling with the help of SPSS v24 and AMOS v23.

The findings of this study demonstrated that eWOM has a positive and significant influence on brand equity and purchase intention. Simultaneously, brand equity partially mediates between the eWOM and purchase intention of consumers of apparel brands.

The study's data set is limited in its generalizability as it is based on specific responses from Indian consumers of branded apparel via an online survey. The results of this study would help marketing practitioners and apparel manufacturers to augment their sales and design their promotional strategy in accordance with consumers' traits.

To the best of the authors’ knowledge, this study is one of the first to propose an integrative model that studies relationships between eWOM, brand equity and purchase intention by incorporating the Elaboration Likelihood Model among Indian consumers of branded apparel. Furthermore, this novel piece of research explores the relationship between eWOM and purchase intention with brand equity as a mediator, particularly for branded apparel selected by Indian consumers.

The purpose of this study is to examine an integrated model, in which brand equity (BE) mediates the effects of social media usage (SMU) and electronic word of mouth (eWOM) on purchase intentions among Indian consumers of branded apparel.

An online questionnaire was used to collect data from 317 Indian customers of branded apparel, and the data were analyzed using the partial least squares structural equation modeling (PLS-SEM) with the help of SmartPLS version 4.

First, the results indicated that SMU, eWOM and BE significantly impact consumers purchase intention; at the same time, BE is influenced by SMU and eWOM. Second, results confirmed that BE partially mediates the effects of SMU and eWOM on the purchase intentions of consumers of apparel brands.

The study's dataset is limited in its generalizability as it is based on specific responses from Indian consumers of branded apparel via an online survey. The results of this study would help marketers and advertisers create customized advertising campaigns for the people who are most likely to buy their products. Marketers can also use social media to promote the uniqueness or point of difference (PoD) of their apparel brands.

To the best of the authors' knowledge, no study has been conducted on apparel brands in the Indian context that has tested an integrative model, in which BE mediates the effects of SMU and eWOM on the purchase intentions of customers of apparel brands.