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This chapter explores the question of how Myanmar prisons are administered, with specific focus on bureaucracy, rules, and the distribution of authority. We attend to the question of who runs the prison with focus on the supervisory and disciplinary roles designated to prisoners and the figure of the prison Superintendent. We examine the multiplicity of rules and the various ways in which they are learned, experienced, arbitrarily enforced, and inevitably broken. We demonstrate the value of thinking about everyday prison governance as a bureaucratic, authorising endeavour that involves practices of registration, ordering, sequencing, queueing, and organising, informed by values like facelessness, invisibility, and apparent neutrality. Attending to rules – to their inculcation and their effects – reveals the value of conceiving of them as ordering technologies that contribute to the organisation and regulation of everyday prison life.

This study investigates the determinants of eco-buying behavior by incorporating individual attributes such as personality traits and personal values and the theory of planned behavior (TPB). It also explores status consumption’s potential role in motivating eco-fashion purchases.

Conducted through an online survey with 436 respondents in the UK, the study utilizes structural equation modeling (SEM) to analyze the data.

The study contributes to the eco-friendly consumer behavior literature in fashion, revealing that social influence, need for uniqueness, public self-consciousness, green consumption values and prosocial attitudes significantly influence both eco-behavior and status consumption. Interestingly, while no substantial impact of status consumption on eco-behavior was observed overall, a multi-group analysis unveils distinctive perceptions and intentions. A clustering analysis identifies two significant segments (status buyers and eco-savvy fashionistas) exhibiting markedly different relationships between variables necessitating tailored marketing approaches concerning eco-fashion buying.

Theoretically, the study highlights the limitations of the TPB in capturing evolving consumer dynamics, calling for refined models that incorporate personal values and specific motivations to better understand sustainable consumption.

For “Status Buyers,” marketers should focus on their desire for uniqueness and present eco-fashion as a status symbol using social proof and influencer marketing. For “Eco-Savvy Fashionistas,” strategies should highlight environmental benefits, provide educational resources and offer tools to track environmental impact.

This study deepens our understanding of eco-friendly fashion purchases by accounting for the diverse perceptions and values that drive consumer behavior. Recognizing the heterogeneity within the sample reveals previously overlooked nuances in this complex decision-making process.

Incumbent organizations are being challenged to carry out the transformative change induced by digital transformation. They often address the challenge by creating diverse, cross-functional teams called breakthrough teams to imagine, plan and execute the change. The teams operate under two opposing pressures: the team’s members must undertake their daily work in the exploitative environment of the incumbent and engage in bold explorations dictated by the team’s change mandate. To address the poor understanding of what makes such teams effective in such organizations, we ask: What team-level factors influence the extent to which breakthrough teams effectively pursue their radical mandate?

We hypothesize the effect of a team-level factor called “relational climate” – the team’s vision, compassion and relational energy – on team performance defined as innovating radically innovation and engaging in effective processes. We posit that the effect is fully mediated by the team’s two boundary mechanisms – spanning and buffering – which define how the team interacts with its environment. We validate the research model using survey data from 184 teams in 90 organizations engaged in digital transformation.

We find that teams’ boundary mechanisms fully mediate the effect of the relational climate on radical innovation and process performance. Selective incentives and higher-level information technology (IT) capabilities also have a significant effect on radical innovation.

This study is motivated by the need for scholars and practitioners alike to better understand how to create and manage teams that have radical change mandates. Managers currently are pushed to explore high-growth, high-risk change by establishing cross-functional teams to accomplish such mandates. Our study suggests a two-pronged approach to improve the performance of these teams: (1) cultivate and sustain a strong intra-team climate, enabling a radical vision to emerge, and (2) apply principles to manage team boundaries by determining what needs to be protected from the environment and what needs to be opened to it.

To date, research has focused on organizational and individual-level antecedents of radical change, while team-level studies have focused on marketing and new product development (NPD) teams, which are devoid of radical mandates. The study addresses incumbent firms’ challenge of managing the radical innovation created by digital transformation and demonstrates the significance of three team-level factors on team performance: relational climate, buffering and spanning. To our knowledge, our theoretical model is the first to draw on these constructs to explain team-level radical innovation outcomes.

Despite increasing awareness among fashion consumers about the positive environmental and societal impacts of sustainable fashion as a viable alternative to fast fashion, their actual adoption behavior often diverges. This study aims to empirically investigate consumers’ resistance barriers to sustainable fashion clothing.

This study utilizes innovation resistance theory to examine the barriers to consumer intention to buy sustainable clothing. The study collected a large sample (N = 745) of fashion consumers from the USA and India to test a research model.

The study finds that value, social risk, tradition and image barriers significantly reduce consumers’ intentions to buy sustainable fashion clothing. Additionally, the findings highlight that environmental concern moderates the relationship between social risk barriers and buying intentions.

The study findings contribute to the existing sustainable fashion literature by highlighting the main barriers for sustainable clothing consumption and emphasizing the crucial role of social elements, economic values and the image of sustainable fashion products in shaping consumer behavior within the fashion landscape.

This study aims to propose and validate a research framework pertaining to the willingness to disclose information in the context of mobile banking apps. The interrelationships between privacy protection, perceived personalization, social presence, design aesthetics, consumer empowerment, parasocial interactions and privacy concerns are assessed as antecedents of willingness to disclose information.

Based on a self-administered survey, this study gathered data from 450 Chinese consumers. The data were analyzed using structural equation modeling via SmartPLS 4 software.

The findings indicate that (1) privacy concerns are negatively related to willingness to disclose information, (2) parasocial interaction reduces privacy concerns, (3) consumer empowerment is positively influenced by privacy protection and perceived personalization and (4) social presence and design aesthetics positively contribute to the formation of parasocial interaction.

The current study serves to reinforce a theoretical understanding of the willingness to disclose information in mobile banking apps, which is underresearched. The findings offer alternative psychological mechanisms (i.e. consumer empowerment and parasocial interaction) and relevant mobile banking app attributes to explain the willingness to disclose information.

This study addresses a gap in understanding consumer retention in omnichannel retailing. It explores the impact of omnichannel capabilities on consumer retention by examining the roles of consumer empowerment, cross-channel integration, retailer uncertainty and consumer satisfaction.

Utilising the stimulus-organism-response theory, data from 338 Indian omnichannel consumers were analysed using SmartPLS V3 and Process Macro for SPSS. A structured questionnaire guided the investigation into the interconnected dynamics of omnichannel capabilities, consumer empowerment, cross-channel integration, retailer uncertainty and consumer satisfaction.

Findings suggest that omnichannel capabilities significantly and positively influence consumer retention, with a significant mediation impact on consumer empowerment and cross-channel integration. The results indicate that retailer uncertainty negatively moderates, whereas consumer satisfaction positively moderates the association between omnichannel capabilities and consumer retention. Moreover, the study unravels the mechanisms driving consumer retention in the omnichannel landscape.

This research pioneers unravelling the complexities of consumer retention in omnichannel retailing. It explores how consumer retention is enhanced through omnichannel capabilities. This study bridges a gap in existing research by examining the impact of omnichannel capabilities, consumer empowerment and cross-channel integration in omnichannel retailing. Therefore, this study provides innovative, unique and strategic adaptations in the retail industry.

Artificial intelligence (AI) services are vital in enhancing customer experience and purchase intentions in the international online fashion retail sector. This study explores customers’ intentions to use AI-enabled services, focusing on transaction utility, trust and product uniqueness across the customer journey in the context of international online fashion stores. This study also assesses how privacy moderates customer intentions.

This study adopted a longitudinal research design and purposive sampling technique to collect a total of 566 participants. The final data were analyzed using IBM SPSS Amos version 21 software.

The study highlights the significance of transaction utility, trust and product uniqueness in AI integration across the customer journey (pre-purchase, during purchase and post-purchase stages). Most of the direct relationships are significant, except the relationship between the during purchase and post-purchase stages. With a few exceptions, AI integration commonly does not mediate the relationship between antecedents and intention to use AI-enabled services. Privacy moderates AI integration in post-purchase, during purchase and intention to use AI-enabled services, except in the pre-purchase stage.

This study bridges important gaps in the literature by integrating AI-enabled services and customer behavior, contributing to a broader knowledge of customer interactions in global e-commerce fashion stores. The study examines multiple attributes that impact intention, such as transaction utility, trust, product uniqueness, AI integration in three stages of purchases (pre-purchase, during purchase and post-purchase) and privacy, using three major theories: mental accounting theory, trust commitment theory and commodity theory.

This study explores the factors influencing artificial intelligence (AI)-driven decision-making proficiency (AIDP) among management students, focusing on foundational AI knowledge, data literacy, problem-solving, ethical considerations and collaboration skills. The research examines how these competencies enhance self-efficacy and engagement, with curriculum design, industry exposure and faculty support as moderating factors. This study aims to provide actionable insights for educational strategies that prepare students for AI-driven business environments.

The research adopts a hybrid methodology, integrating partial least squares structural equation modeling (PLS-SEM) with artificial neural networks (ANNs), using quantitative data collected from 526 management students across five Indian universities. The PLS-SEM model validates linear relationships, while ANN captures nonlinear complexities, complemented by sensitivity analyses for deeper insights.

The results highlight the pivotal roles of foundational AI knowledge, data literacy and problem-solving in fostering self-efficacy. Behavioral, cognitive, emotional and social engagement significantly influence AIDP. Moderation analysis underscores the importance of curriculum design and faculty support in enhancing the efficacy of these constructs. ANN sensitivity analysis identifies problem-solving and social engagement as the most critical predictors of self-efficacy and AIDP, respectively.

The study is limited to Indian central universities and may require contextual adaptation for global applications. Future research could explore longitudinal impacts of AIDP development in diverse educational and cultural settings.

The findings provide actionable insights for curriculum designers, policymakers and educators to integrate AI competencies into management education. Emphasis on experiential learning, ethical frameworks and interdisciplinary collaboration is critical for preparing students for AI-centric business landscapes.

By equipping future leaders with AI proficiency, this study contributes to societal readiness for technological disruptions, promoting sustainable and ethical decision-making in diverse business contexts.

To the author’s best knowledge, this study uniquely integrates PLS-SEM and ANN to analyze the interplay of competencies and engagement in shaping AIDP. It advances theoretical models by linking foundational learning theories with practical AI education strategies, offering a comprehensive framework for developing AI competencies in management students.

This study aims to explore blockchain potential for digital marketing (BlkChn-Mk-KAP) by developing and validating a measurement model for assessing the constructs of knowledge, attitude and practice (KAP) related to blockchain technology in digital marketing.

A four-study process was used. The first study reviewed the literature to develop a pool of possible measurement items. Using exploratory factor analysis and reliability assessments, Study 2 (n = 162) investigated the dimensionality of the items developed in Study 1. The factorial structure from Study 2 was validated in Study 3 (n = 204), and the measurement model invariance was assessed using covariance-based structural equation modelling (CB-SEM). Finally, in Study 4 (n = 203), the predictive validity of the BlkChn-Mk-KAP was tested using a CB-SEM approach, testing its constructs correlations with the perceived usefulness of blockchain for digital marketing.

The findings indicate that the BlkChn-Mk-KAP measurement model comprises three-dimensional multi-item scales: knowledge, attitude and practice.

This study introduces a promising BlkChn-Mk-KAP model to examine blockchain’s role in digital marketing. The authors acknowledge the sampling limitation in this research. To enhance the generalisability of the findings, future research should expand to different groups, including generation, gender and age. In addition, further exploration of the explicit links between blockchain knowledge, attitudes and subsequent digital marketing performance is warranted.

Educating employees about blockchain technology’s unique features can shape favourable attitudes and stimulate the utilisation of blockchain-enabled technologies in digital marketing practice. BlkChn-Mk-KAP can offer a reliable and valid instrument to benchmark marketers’ KAP of blockchain-powered digital marketing as they implement blockchain technology to gain a competitive advantage.

This study helps to adopt sustainable practices ensuring the wellbeing of the key stakeholders.

This research introduces the first validated conceptualisation and measurement model, BlkChn-Mk-KAP, to evaluate blockchain KAPs among digital marketing professionals.

In the present era, the achievement of employee Islamic performance has become a significant challenge for organizations. The purpose of the study is to examine the effect of Islamic leadership on employee Islamic performance directly and indirectly by bridging the connections between employees’ Islamic organizational values, Islamic organizational culture, and Islamic work motivation among the employees of Egyptian banks.

The authors used quantitative methods in this study and based its findings on the data received from 312 respondents in response to a questionnaire.

By using SmartPLS 4, this study’s findings demonstrate that Islamic leadership has a positive and significant effect on Islamic organizational values, culture, employee Islamic performance and work motivation. While Islamic organizational values and Islamic organizational culture do not significantly impact employee Islamic performance, Islamic work motivation is a significant predictor of employee Islamic performance. On the one hand, Islamic organizational values and Islamic organizational culture do not mediate the relationship between Islamic leadership and employee Islamic performance. On the other hand, Islamic work motivation is a mediating variable that significantly develops the relationship between Islamic leadership and employee Islamic performance.

The study’s findings support policymakers and human resource management practitioners to develop plans and strategies which enhance the Islamic performance of organizations’ employees. In addition, this study’s findings provide insights for researchers and academicians in developing Islamic leadership within their organizations so that they operate by Islamic values and codes.

Finally, by offering an integrated model of Islamic leadership, Islamic organizational values, Islamic organizational culture and employee Islamic performance, this study’s findings fill the gaps in the context of bank employees in a developing country, namely, Egypt.