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As demand for access to colleges and universities prompts higher education systems for creative and efficient solutions, we examine technology-centric approaches to education delivery and their implications for policy, student outcomes, and resource allocation. Our work is framed by Kingdon’s adapted multiple streams theory of national policymaking. However, the real elephant in the room may be the skyrocketing costs of administration that may need wrangling before resources can be directed to the future potential savings obtained through developing infrastructure for, and delivery of, tech-centric teaching approaches. We provide examples and strategies, policy implications, and recommendations for research and practice.

A growing body of research finds that gig economy platforms use gamification to enhance managerial control. Focusing on technologically mediated forms of gamification, this literature reveals how platforms mobilize gig workers’ work effort by making the labour process resemble a game. This chapter contends that this tech-centric scholarship fails to fully capture the historical continuities between contemporary and much older occurrences of game-playing at work. Informed by interviews and participatory observations at two food delivery platforms in Amsterdam, I document how these platforms’ piece wage system gives rise to a workplace dynamic in which severely underpaid delivery couriers continuously employ game strategies to maximize their gig income. Reminiscent of observations from the early shop floor ethnographies of the manufacturing industry, I show that the game of gig income maximization operates as an indirect modality of control by (re)aligning the interests of couriers with the interests of capital and by individualizing and depoliticizing couriers’ overall low wage level. I argue that the new, algorithmic technologies expand and intensify the much older forms of gamified control by infusing the organizational activities of shift and task allocation with the logic of the piece wage game and by increasing the possibilities for interaction, direct feedback and immersion. My study contributes to the literature on gamification in the gig economy by interweaving it with the classic observations derived from the manufacturing industry and by developing a conceptualization of gamification in which both capital and labour exercise agency.

This paper aims to seek accounting graduates' perspectives on the demand for accounting in their workplaces, on the gaps in accounting education (AE), and on the future of the accounting profession, inspired by the new definition of accounting proposed by Carnegie et al. (2021, 2022, 2023a), to adopt a strong focus on sustainable development goals (SDGs) in AE to inculcate tertiary students with the skills that lead them to approach and apply accounting as a multidimensional technical, social and moral (TSM) practice.

The online qualitative survey was distributed to 100 randomly selected New Zealand accounting graduates in order to gather insights from their workplaces. All responses from the 30 graduates who completed the questionnaire underwent qualitative analysis using Leximancer software, which automatically identifies high-level concepts and insights and offers interactive visualizations without bias.

The graduates’ experiences underscore the ongoing significance of technical skills in the New Zealand workplace. They emphasized the lack of non-technical skills training, stressed the necessity of diverse business knowledge and highlighted the importance of automation and digital skills.

The implications for transforming AE involve adopting an activist approach to integrate a TSM perspective into teaching and learning and being open to an interdisciplinary approach to expose tertiary students to the impact of accounting on sustainable development, including collaboration with professional bodies for real-world experiences.

The importance of engaging with SDG-related narratives is stressed to stimulate further discussion, debate and research aimed at identifying practical solutions for AE as a facilitator for SDGs in realizing accounting as a TSM practice.

Higher education has struggled to find, implement, and adopt technology that is transformative to the learning experience. Most systems are disparate, old, data-poor, and heavily nuanced platforms with few champions and many detractors. At the same time, the process of learning, which is the ultimate goal of the institution’s students, does not leverage what we know about the brain, learning science, and more. However, all of these problems can be overcome if leaders and champions create learning technologies that are holistic to the student experience while assuring deep integration with other systems. This is how student success initiatives can be improved, at scale, and see technology assisting leaders.

Leveraging case studies of exemplar teaching, learning, technological, and data strategies by which to empower people and connect analytics, this chapter seeks to provide tangible ways by which to deliver “best” learning from a holistic perspective. The problems facing higher education and consistently presented in the media can be overcome with smarter, more connected solutions, such as the ones described in this chapter.

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.

This study aims to analyze the impact of digital transformation on firm performance within the banking sector, specifically focusing on the Amman Stock Exchange (ASE)-listed banks from 2015 to 2022. Additionally, it explores the influence of gender dynamics on the implementation and outcomes of these digital transformation initiatives.

The study adopts a robust empirical approach, using manual content analysis of annual reports from ASE-listed banks. The Digital Transformation Disclosure Index (DTDI) is used to assess the extent and nature of digital transformation initiatives within these banks. The methodology is designed to provide a comprehensive evaluation of the correlation between digital transformation efforts, firm performance and gender dynamics.

The research reveals that digital transformation initiatives have a significant positive impact on the performance of ASE-listed banks. It also uncovers nuanced insights into the role of gender dynamics, indicating that gender diversity within firms influences the adoption and success of digital transformation strategies in complex ways.

The findings of this study contribute to the understanding of digital transformation in the banking sector, offering empirical evidence on its benefits for firm performance. Additionally, the study illuminates the intricate role of gender dynamics in digital transformation, providing a new perspective on organizational diversity within the context of technological change.

This research pioneers in academically linking digital transformation and gender dynamics within the banking sector, addressing a notable gap and introducing a fresh academic perspective. Practically, it equips banking executives and policymakers with actionable insights for gender-inclusive digital strategies, crucial for enhanced firm performance. Methodologically, the study sets a benchmark in research innovation, using the DTDI to offer a replicable model for future investigations in this evolving field.

Among a wide array of information and communication technologies (ICTs) used to directly or indirectly support the mega events are reality boosting technologies and smart tourism technologies. Building upon the halo effect, this study aims to explain the connection between satisfaction with ICTs used in mega event, national image and event participants’ future behavior.

The analyzed data included survey responses from 246 foreigners who visited PyeongChang as a visitor for the 2018 Winter Olympics.

The results showed that both reality boosting technologies and smart tourism technologies directly or indirectly influence overall experience satisfaction by way of transaction satisfaction. Furthermore, the two types of satisfaction were found to positively influence the national image of the host country, which consequently has a positive effect on visitors’ future behavior.

This study aimed to explore two different roles of ICTs in mega events by focusing more on the visitors who came to PyeongChang for the Olympics. The originality of this study lies in its attempt to examine the mechanisms in which visitors’ satisfaction from ICT-based experiences in mega events contributes to forming a positive image toward the host country.

现实促进技术和智能旅游技术在各种 ICT中被广泛应用来直接或间接支持大型活动的。基于光环效应, 这项研究解释了对大型活动中使用的 ICT 的满意度, 国家形象, 活动参与者未来行为之间的联系。

分析的数据包括 246 位在2018 年冬季奥运会访问平昌的外国游客。

结果表明, 现实促进技术和智慧旅游技术通过直接或者间接方式接通过交易满意度影响整体体验满意度。此外, 研究发现两种类型的满意度均对东道国的国家形象形成产生积极影响, 从而对吸引未来访客的有正面影响。

通过聚焦来平昌参加奥运会的游客, 本研究旨在探索信息通信技术在大型活动中的两种不同作用。本研究的原创性在于试图检验游客在大型活动中基于 ICT 的体验满意度对形成对东道国正面的国家形象的机制。

Taking a mixed-method approach, this research developed and validated a novel, value-centric experience framework delineating robotic involvement in the service encounter and its subsequent impact on customers' experiences.

Focused on robotic restaurant businesses where robots are mainly involved in food production processes, this research utilized online customer review data and a multistage, mixed-method design for empirical examination. Automated thematic analysis was first adopted to facilitate a comprehensive understanding of the empirical reality as reflected in online customer reviews. Following an analytic induction process, a theoretical framework was developed integrating prior literature with the empirical reality to uncover the relationships across robotic involvement, experiential values and evaluative outcomes. A theory-driven, dictionary-based content analysis together with path analysis further enabled empirical validation of the developed theoretical framework.

The current research developed and validated a value-centric experience framework to theorize robotic involvement in the service encounter and its downstream impact on customers' experiences. Specifically, this framework conceptualizes robotic involvement as a five-dimensional composition of robotic visibility, competency, performanism, co-creativity and prominence. In addition, the framework specifies seven dimensions of experiential values revolving around high-tech–high-touch robotic service encounters, namely sensorial, utilitarian, hedonic, social, agentic, epistemic and aesthetic values. Following empirical validation, this framework sheds light on robotic involvement and experience design for high-tech–high-touch service businesses aiming to incorporate robots in their service encounters.

Drawing on classic service role theory and consumption value theory, this research developed and validated a novel theoretical model connecting robotic involvement dimensions with experiential consumption values and downstream customer evaluative outcomes. This research and theoretical framework open an exciting avenue for future research in robotic services and customer experiences.

At the present time, Industry 4.0 has proven its effectiveness and significance in automation and data exchange within industries across different sectors worldwide. In the current literature, there is still a lack of research on adopting Industry 4.0 in the manufacturing setting in developing economies. The main purpose of the present study is to explore the fundamental pillars and framework for ease of adoption of Industry 4.0 in manufacturing environments, along with highlighting the benefits and challenges.

In this study, a systematic literature review has been conducted through protocol, search, appraisal, synthesis, analysis, report (PSALSAR) model. In the literature, the articles are included within time span of 2008–2022, consisting keywords like Industry 4.0, blockchain, machine learning, artificial intelligence, Internet of Things, 3D printing, big data analytics, etc. Based on available literature, conceptual implementation framework of Industry 4.0 is proposed.

This study explored the key ingredients that play an essential role to bridge the gap and construct a strong relationship among physical and cyber world. The results reveals that the emerging technologies such as IoT, blockchain, artificial intelligence, augmented reality, 3D printing, big-data analytics, cloud-computing join hands to accomplish success in Industry 4.0 by reducing human interference for effective and efficient systems. In addition, the study also explored the possible benefits of emerging technologies with challenges faced by manufacturing setting during adaptation of Industry 4.0.

As per the authors' best knowledge, no research articles are found in literature which explore various emerging technologies in Industry 4.0 with its implementation framework in the manufacturing setting in developing economies. The main focus of the present study is to discover the literature review in defined area and find the research gap among current scenario and future trend for execution of Industry 4.0 in manufacturing environment.