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The rise and popularity of digitalization have made the addictive use in the virtual world more common, which has aroused wide attention from academia and public. Uncovering the underlying mechanism of addictive use is essential to address this serious issue.

By utilizing the context of massively multiplayer online games (MMOGs), this study developed virtual-domain perfectionism of seeking excellence and avoiding failure from the dual process model of perfectionism and identified four affordances in MMOGs from the perspective of technology affordance. The authors surveyed 302 valid samples in MMOGs to empirically test the research model.

The results demonstrate that two processes of virtual-domain perfectionism influence addictive use positively in MMOGs. Technology affordances perform as the antecedents of virtual-domain perfectionism and conduct distinct impacts in MMOGs. Specifically, affordances of interaction and identity are positively related to virtual-domain perfectionism, while achievement affordance is unrelated to virtual-domain perfectionism. Immersion affordance is positively related to virtual-domain perfectionism of seeking excellence and negatively associated with virtual-domain perfectionism of avoiding failure.

This study identified virtual-domain perfectionism and specific MMOGs affordances. The research model provides insights into addictive use in MMOGs by leveraging context and combining lenses. Research findings help elucidate the role of virtual-domain perfectionism on the addictive use from MMOGs affordances with the corresponding technical features.

The objective of this paper is to identify dimensions of responsible consumption from consumer perspective and develop a reliable and valid measurement scale.

This paper has employed mixed methodology to develop items for responsible consumption. In first phase, experts' interviews were carried out to unearth the dimensions of responsible consumption. In second phase, quantitative survey was carried out to among consumers to measure their response. This was done using five-point Likert scale. The reliability and validity were ensured through empirical data online. Structural equation modeling was used to test the structural model.

The result showed that consumer perception of responsible consumption consists of five dimensions (Rationality, Sustainable Consumption, Local Consumption, Ethical Consumption and Minimalism). The result also showed strong relationship among satisfaction and responsible consumption dimensions.

It will help policymakers to measure and promote responsible consumption thereby improving environmental performance and reducing carbon footprint.

This is the first study to develop valid and reliable instrument for responsible consumption. The findings will have several implications both theoretical and practical for policymakers and society.

The Whole Child Initiative (WCI) was developed over the past 15 years as a blueprint to promote long-term development and success of all children, as well as their families and communities. This chapter describes three aspects of the WCI model: (a) the need for a public health approach to sustainable, communitywide change targeting the whole child; (b) a clear, future-oriented vision for equipping educators, caregivers, and service providers with the skills and attitudes required to deliver high-quality instruction; and (c) the infusion of social and emotional learning practices to transform environments in which youth live and play. We provide examples of how schools, communities, and families can come together to create a common culture fostering stable and nurturing relationships essential for enhancing youth well-being. We close with recommended “super strategies” – low-cost, simple, and effective practices that can be broadly implemented to keep every child healthy, safe, engaged, supported, and challenged in the community at large.

The purpose of this paper is to explore and establish the contours of trust in learning analytics and to establish steps that institutions might take to address the “trust deficit” in learning analytics.

“Trust” has always been part and parcel of learning analytics research and practice, but concerns around privacy, bias, the increasing reach of learning analytics, the “black box” of artificial intelligence and the commercialization of teaching and learning suggest that we should not take stakeholder trust for granted. While there have been attempts to explore and map students’ and staff perceptions of trust, there is no agreement on the contours of trust. Thirty-one experts in learning analytics research participated in a qualitative Delphi study.

This study achieved agreement on a working definition of trust in learning analytics, and on factors that impact on trusting data, trusting institutional understandings of student success and the design and implementation of learning analytics. In addition, it identifies those factors that might increase levels of trust in learning analytics for students, faculty and broader.

The study is based on expert opinions as such there is a limitation of how much it is of a true consensus.

Trust cannot be assumed is taken for granted. This study is original because it establishes a number of concerns around the trustworthiness of learning analytics in respect of how data and student learning journeys are understood, and how institutions can address the “trust deficit” in learning analytics.

The purpose of this paper is to propose a model that examines the relationships among the five dimensions of the unified theory of acceptance and use of technology (UTAUT) toward the overall behavioral intentions (BIs); to use cashless payment systems in Thailand, which are practically based on the basic models and theories of consumer behavior such as the theory of reasoned action (TRA), theory of planned behavior (TPB) and technology acceptance model (TAM); and to explain the indirect effects between UTAUT and BIs to use cashless payment systems mediating by perceived risk and trust.

A total of 708 respondents, who have had an experience with a cashless payment system in Thailand, were selected using a stage sampling method. The data obtained from the participants were analyzed using a structural equation modelling approach.

The results of this paper reveal that UTAUT model, perceived risk and trust have all significant influences on BIs to use a cashless payment system. This suggests that consumers in Thailand adopt to specific financial technological innovation if they perceive that the risk is low and they can trust the system, especially if it is associated with a reliable online banking network.

The basic understanding of the UTAUT model that influences BIs to use cashless payment systems has been the focus of this current paper. This paper empirically examined the overall direct and indirect influences of UTAUT model and perceived risk, trust and BI to use. This current paper also expands the UTAUT theory by exploring several dimensions (i.e. performance expectancy, effort expectancy and social influence). Research findings reveal that effort expectancy can reduce perceived risk and increase trust in Thailand's cashless payment systems. This can generate more customer interest and engagement, as well as provide insights into customers' intentions in using a cashless payment system.

The aim of this study is to gain important insights on integration oriented servitization identifying essential dimensions of effective structures, coordination approaches and management controls adopted by manufacturing firms that integrate forward towards distribution, sales and services.

The study adopts a theory-guided qualitative abductive methodology to conduct a comparative case-study of two manufacturing firms in the same industry integrating forward to enhance servitization but with significantly different performance outcomes. The findings are uncovered from a broad spectrum of primary and secondary data spanning two decades.

The consistently high-performing firm puts equal emphasis on production and downstream distribution, sales and services and motivate individuals to engage in entrepreneurial efforts to develop combined product-services offerings that are valued by customers. The underperforming firm prioritizes operating efficiency driven by engineering prowess and managed through planning, standardization, authority and central controls.

The study is based on two representative firms operating in a specific industry context, which has ramifications for the generalizability of results and calls for replication studies to substantiate and extend findings.

Forward integration from manufacturing into distribution, sales and services represents a specific servitization strategy that needs structure and particular coordination approaches to be effective in complex dynamic product-markets. The characteristics of the outperforming case company provide useful insights on effective integrated servitization efforts.

Forward integration is a commonly adopted strategy among manufacturing firms that constitute the backbone of modern economies and effective governance of these integration oriented servitization efforts has important implications for societal value creation.

This study builds on rationales from management science including economic theory, corporate strategy and different micro-foundational lenses and thereby hone recent calls for broader theoretical foundations to enlighten studies of the servitization puzzle.

Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.

Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.

Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.

Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.

Stress and burnout in public school teachers and principals have been well documented for the past 40 years. Sources of stress and burnout are often systemic and include numerous factors from low pay to student behavioral issues to accountability pressures. Additionally, stress and burnout in the educational workforce have implications on both the efficacy of individuals' work and their intentions to leave. In a postpandemic era where record numbers of teachers and school leaders are leaving the profession, mitigating burnout and improving the sustainability of the education workforce is essential. This chapter provides strategies at multiple levels, including the individual, school, and district, to reduce negative psychological impacts of educational work and inform structural changes. Policy recommendations at both the state and federal level are also provided. And lastly, implications for educator and principal preparation programs are detailed. Approaching burnout and well-being from a multilevel perspective can rectify both direct and indirect causes of burnout, and a systematic approach is more likely to lead to meaningful, sustained change to better working conditions. Improving the US educational system in a postpandemic era will require concerted efforts to support the head, the heart, and the health of public education professionals.

One of the most marginalized communities in India is the Lesbian, Gay, Bisexual and Transgender (LGBT) community which commonly experiences discrimination. Many studies have countered that the LGBT community faces high discrimination in the banking and financing industry. As a result, this study concentrates on this marginalized community and its acceptance and continuation habit regarding mobile wallets. Consequently, this study has considered continuance intentions as a response to confirm the progress of the mobile-wallet industry. Also, this study tried to study the relationship between behavioral intention (BI) and continuous intention (CI) which is seriously lacks in the library of literature. The research operationalized the stimulus–organism–response (SOR) framework for the conceptual model and surveyed 100 self-proclaimed members of the LGBT community in India. The analysis has been done using the partial least structure (PLS). The findings demonstrate that variables like perceived trust (PT) directly influence the BI. On the other hand, variables like perceived ease of use (PEoU), social influence (SI), and satisfaction (S) doesn’t influence BI of the LGBT Community. The main outcome was a favorable association between BI and CI. It will help the stakeholders to understand how important this new market avenue is and how it can be explored. To ensure safe and secure transactions, a group think tank composed of important parties (financial institutions, mobile-wallet providers, the government, security specialists, etc.) should make recommendations. Mobile-wallet providers will attain benefit from this study’s understanding of user categories and ability to tailor their service offers as per the community.