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This study aims to examine the influence of the derived attributes of embedded artificial intelligence-mobile smart speech recognition (AI-MSSR) technology, namely perceived usefulness, perceived ease of use (PEOU) and perceived enjoyment (PE) on consumer purchase intention (PI) through the chain relationships of attitudes to AI and consumer smart experience, with the moderating effect of consumer innovativeness and Generation (Gen) X and Gen Y in fashion retail.

The study employed a quantitative survey strategy, drawing a sample of 836 respondents from Sri Lanka and India representing Gen X and Gen Y. The data analysis was carried out using smart partial least squares structural equation modelling (PLS-SEM).

The findings show a positive relationship between the perceived attributes of MSSR and consumer PI via attitudes towards AI (AAI) and smart consumer experiences. In addition, consumer innovativeness and Generations X and Y have a moderating impact on the aforementioned relationship. The theoretical and managerial implications of the study are discussed with a note on the research limitations and further research directions.

To multiply the effects of embedded AI-MSSR and consumer PI in fashion retail marketing, managers can develop strategies that strengthen the links between awareness, knowledge of the derived attributes of embedded AI-MSSR and PI by encouraging innovative consumers, especially Gen Y consumers, to engage with embedded AI-MSSR.

This study advances the literature on embedded AI-MSSR and consumer PI in fashion retail marketing by providing an integrated view of the technology acceptance model (TAM), the diffusion of innovation (DOI) theory and the generational cohort perspective in predicting PI.

This study aims to analyse the influence of perceived corporate social responsibility (CSR) on purchase intention; this study also examines the mediating effect of generation Y’s attitude towards the brand and the moderating effect of their attitude towards CSR.

This study tested the model with a sample of 392 generation Y consumers using Smart partial least squares (PLS)-structural equation modelling.

Brand attitude partially mediates the positive influence of perceived CSR (PCSR) on purchase intention. Gen Y’s attitude towards CSR increases the impact of PCSR on brand attitude and purchase intention.

To multiply the effects of CSR and brand attitude, retail marketing managers can develop strategies that strengthen the links between awareness, knowledge, brand affection and purchase intent by encouraging Gen Y consumers to engage with the brand’s CSR strategy.

This study advances the literature on CSR and consumer behaviour by providing an integrated view of the hierarchy of effects model and a generational cohort perspective in predicting purchase intention.

sponsabilidad social corporativa y la actitud hacia la marca en la intención de compra

el estudio analiza la influencia de la responsabilidad social corporativa (RSC) percibida sobre la intención de compra. De igual forma, se analizan el efecto mediador de la actitud hacia la marca y el efecto moderador de la actitud hacia la RSC de la Generación Y.

el modelo se contrastó con una muestra de 392 consumidores de la generación Y utilizando SMART PLS-SEM.

la actitud hacia la marca media parcialmente la influencia positiva entre la RSC percibida y la intención de compra. La actitud de la Gen Y hacia la RSC multiplica el impacto de la RSC percibida sobre la actitud hacia la marca y sobre la intención de compra.

con la finalidad de multiplicar los efectos de la RSC y de la actitud hacia la marca, los directivos del marketing minorista pueden desarrollar estrategias que refuercen los vínculos entre concienciación, conocimiento, afecto por la marca e intención de compra fomentando la implicación de los consumidores de la generación Y con la estrategia de RSC de la marca.

El estudio avanza en la literatura sobre RSC y comportamiento del consumidor al ofrecer una perspectiva integrada del modelo de jerarquía de efectos (HOE) y la perspectiva de cohortes generacionales en la predicción de la intención de compra.

本研究分析了感知到的企业社会责任对购买意向的影响。同样, 我们也分析了Y世代的品牌态度的中介效应和企业社会责任态度的调节效应。

使用SMART PLS-SEM对392名Y世代消费者的样本进行了模型测试。

品牌态度部分调解了感知的企业社会责任和购买意向之间的积极影响。Y一代对企业社会责任的态度使感知到的企业社会责任对品牌态度和购买意向的影响倍增。

为了使企业社会责任和品牌态度的效果倍增, 零售业营销人员可以制定战略, 通过鼓励Y一代消费者参与品牌的企业社会责任战略, 加强意识、知识、品牌喜爱和购买意向之间的联系。

The demand for electric vehicles (EVs) has significantly increased in recent years, though some countries like Sri Lanka have reported the opposite direction compared to the global trend. Hence, this study focused on identifying factors affecting EV purchase intention and barriers to the widespread adoption of EVs in a developing country context. Also, this study presents an overview of the theoretical perspectives utilized for understanding consumer intentions and adoption behavior toward alternative fuel vehicles (AFVs).

The questionnaire method was employed, and 394 individuals who lived in Colombo City, Sri Lanka, with valid driving licenses and a hybrid or conventional vehicle were the study sample. The partial least squares structural equation modeling (PLS-SEM) was used to test the research hypothesis.

The findings confirmed that the three relationships between the unified theory of acceptance and use of technology (UTAUT) variables and EV purchase intention are significant, and there is no significant moderator effect from the consumer’s perceived risk.

These results offer useful information for governments and EV companies to better understand consumer behavior toward purchasing EVs.

The purpose of this study is to investigate the influence of emotional intelligence (EI) on the relationship between strategic management of technology (SMT) and organizational performance (OP).

Data were collected through a survey of 1,094 managerial level employees attached to banks in Sri Lanka and analyzed using structural equation modeling procedure with SmartPLS to test a priori-based conceptual model. The results supported the arguments on the positive impact of SMT on OP, and the moderating role of EI on the relationship between SMT and the OP.

This research reveals the positive effect of SMT on organizational performance.

The findings imply the importance of emotions of managerial level employees in implementing technology strategies to enhance organizational performance in highly volatile markets.

The findings provide an important contribution to the practitioners with the importance of EI for the relationship between SMT and OP.

In this introductory chapter, we establish the basis for the theme of this volume, “Emotions and Disruption.” We discuss how the initial idea for the theme arose during the height of COVID-19. At this time, and as widely reported in the press (e.g., see Grensing-Pophal, 2020), a myriad of workplace disruptions occurred impacting employees' moods and emotions and their subsequent well-being and performance. We open by discussing some key work on emotions research during change and disturbance, followed by a synopsis of each of the chapters in this volume, including discussion of their key contributions. This includes an overview of how some of these chapters were first presented as conference papers at the Twelfth International Conference on Emotions and Worklife (EMONET XII), an event that took place for the first time online in response to the turbulence and travel disruptions created by the pandemic.

In this chapter we give an outline of the organization of this book and discuss its four major parts. We then relate each chapter to the relevant part and consider its key contributions in terms of what we have learnt about emotions when applying the lens of disruption.

We conclude that the chapters provide a range of insights and practical solutions for dealing with emotions during different types of disruption that should be helpful to practitioners and academics.

The chapters investigate underresearched topics and thus make new and important contributions. While many topics addressed in the chapters are still in their initial stages, they clearly have the potential to make a significant impact on people's work lives.

The primary objective of this research is to determine critical success factors (CSFs) that enable textile enterprises to effectively implement Kaizen, a Japanese concept of continuous development, particularly during disruptive situations. The study aims to provide insights into how Kaizen is specifically employed within the textile sector and to offer guidance for addressing future crises.

This study employs a structured approach to determine CSFs for successful Kaizen implementation in the textile industry. The Triple Helix Actors structure, comprising business, academia and government representatives, is utilized to uncover essential insights. Additionally, the Matriced Impacts Croises-Multiplication Applique and Classement (MICMAC) analysis and interpretative structural modeling (ISM) techniques are applied to evaluate the influence of CSFs.

The research identifies 17 CSFs for successful Kaizen implementation in the textile industry through a comprehensive literature review and expert input. These factors are organized into a hierarchical structure with 5 distinct levels. Additionally, the application of the MICMAC analysis reveals three clusters of CSFs: linkage, dependent and independent, highlighting their interdependencies and impact.

Major contribution of this study is understanding how Kaizen can be effectively utilized in the textile industry, especially during disruptive events. The combination of the Triple Helix Actors structure, MICMAC analysis and ISM provides a unique perspective on the essential factors driving successful Kaizen implementation. The identification of CSFs and their categorization into clusters offer valuable insights for practitioners, policymakers and academia seeking to enhance the resilience and sustainability of the textile industry.