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Drawing upon curiosity drive theory, we examine the effects of epistemic curiosity (EC) on employees' innovative work behavior. Additionally, we explore the potential mediating role of work engagement (WE) and the moderating effects of leader-member exchange (LMX).

The data were collected from 406 employees employed in public service organizations within the United Arab Emirates. Structural equation modeling was employed as the analytical approach to test the hypotheses.

The findings of this study indicate that EC is positively related to innovative work behavior. Further, WE mediates the relationship between EC and creative work behavior. Moreover, LMX moderates the indirect effect of WE on the link between EC (interest and deprivation types) and innovative work behavior. The mediating association is stronger when the leader and member’s exchange is high.

This study will assist practitioners of service organizations in focusing their attention on EC to enhance employees' innovative work behavior and achieve optimal performance. Our research extends work on interest and innovative work behavior in an emerging economic context.

Our study suggests that policymakers should embrace the philosophy of curiosity to nurture innovative behavior in the workplace.

The widespread integration of artificial intelligence (AI)-enabled personalization has sparked a need for a deeper understanding of its transformative potential. To address this, this study aims to investigate the mental models held by consumers from diverse cultures regarding the impact and role of AI-enabled personalization in their lives (i.e. individual well-being) and in society (i.e. societal well-being).

This paper uses the theories-in-use approach, collecting qualitative data via the critical incident technique. This data encompasses 487 narratives from 176 consumers in two culturally distinct countries, Belgium and Pakistan. Additionally, it includes insights from a focus group of six experts in the field.

This research reveals that consumers view AI-enabled personalization as a dual-edged sword: it may both extend and restrict the self and also contribute to an affluent society as well as an ailing society. The particular aspects of the extended/restricted self and the affluent/ailing society that emerge differ across respondents from different cultural contexts.

This cross-cultural research contributes to the personalization and well-being literature by providing detailed insight into the transformative potential of AI-enabled personalization while also having important managerial and policy implications.

This study aims to examine the perceptions and opinions of relevant stakeholders regarding entrepreneurship opportunities and growth in the Gilgit-Baltistan (GB) province of Pakistan. Specifically, it focuses on the role of special economic zones (SEZs), such as Maqpondass SEZ and the China–Pakistan Economic Corridor (CPEC), in fostering nascent entrepreneurship (NE) and promoting regional development.

The study employs ordered logistic regression to estimate the relationship between various independent variables and nascent entrepreneurship (NE). The independent variables include awareness of CPEC (AAC), awareness of Maqpondass SEZ (AAMEZ), SEZ incentives (SEZInc), regional market competitiveness (RMC), loan availability (LA) and education and experience (EE).

The findings indicate a robust positive relationship between SEZ-based industries and the growth of local small businesses and enterprises in Gilgit-Baltistan. Furthermore, the study suggests that government incentives, access to finance, skill development, relevant knowledge, and connections with local businesses facilitate the establishment of new ventures.

The study underscores the importance of focusing on human capital development, providing financial assistance, and creating incentives for adopting advanced technology to foster the growth of local businesses in Gilgit-Baltistan through SEZs. It emphasizes the need for policymakers and stakeholders to prioritize initiatives that support entrepreneurship and innovation in the region.

This study contributes to the existing literature by providing novel insights into the perceptions of entrepreneurship development in Gilgit-Baltistan, particularly concerning the influence of natural resources and SEZs. It fills a gap in the research by offering valuable implications for policymakers, researchers, and practitioners seeking to promote sustainable economic development in the region.

This paper aims to investigate the impact of situational factors and internal psychological states on employees’ decisions to perform voluntary pro-environmental behavior. This study used a model combining the theory of planned behavior, norm activation model and comprehensive action determination model. This stud also explored the moderating role of habit (HAB) on the relationship between intention and actual voluntary pro-environmental behavior.

Data were collected through three waves of time-lagged survey questionnaires from 519 employees of public organizations in Abu Dhabi, United Arab Emirates.

Employees’ perceptions of corporate social responsibility (CSR) had a significant impact on intention to perform voluntary pro-environmental behavior, as did all other variables except perceived behavioral control. HABs related to pro-environmental behavior enhanced the relationship between intention and actual behavior.

The main factors influencing employees’ voluntary pro-environmental behavioral intentions were perceived CSR, personal moral norms, organizational citizenship behaviors toward the environment and attitude. Public organization planners, managers and practitioners can use these findings to improve their organization’s environmental performance, leveraging nonmandated actions.

Employees can achieve a better work–life balance in organizations with flexible CSR policies and which sponsor social activities to improve public well-being and individuals’ life quality. Positive sense-making of corporate social activity helps employees develop social interactions with stakeholders, increasing their involvement in society and decreasing work stress.

This study sheds light on the factors influencing employees’ voluntary pro-environmental behavior. To the best of the authors’ knowledge, this is the first study of its kind to combine these three models to explain the variables affecting intent to perform voluntary pro-environmental behavior in the workplace.

Manufacturing firms face increasing pressure to be more “greener” or environmentally friendly. Drawing upon the sustainable development (SD) theory and resource-based view, this study aims to examine the role of total quality management (TQM) and its effect on corporate SD (CSD). Also, this study focused on the mediating role of green innovation (GI).

This study used data from a time-lagged design with two waves that strengthened the hypothesized framework and used structural equation modeling to test the hypotheses.

The results showed a significant influence of TQM on CSD and GI. Also, GI positively affects CSD and fully mediates TQM and CSD relationships.

Important practical implications are integrating the quality indicators with sustainability and environmental dimensions. This study shall help the managers and policymakers in achieving their sustainability goals.

This study advances the prior literature and provides a noble approach of SD for TQM in manufacturing small and medium enterprises in an emerging country context.

Over the last 50 years, increased attention for personalization paved the way for one-to-one marketing efforts, but firms struggle to deliver on this promise. The purpose of this manuscript is to provide a complete picture on personalization, develop a future research agenda and put forth concrete advice on how to move the field forward from a theoretical, methodological, contextual, and practical viewpoint.

This research follows a systematic literature review process, providing an in-depth analysis of 135 articles (covering 184 studies) to distill the (1) key building blocks and components of personalization and (2) theoretical, contextual, and methodological aspects of the studies.

This manuscript uncovers six personalization components that can be linked to two personalization building blocks: (1) learning: manner, transparency, and timing and (2) tailoring: touchpoints, level, and dynamics. For each of these components, the authors propose future research avenues to stimulate personalization research that accounts for challenges in today's data-rich environments (e.g. data privacy, dealing with new data types). A theoretical, contextual, and methodological (i.e. industry, country and personalization object) review of the selected studies leads to a set of concrete recommendations for future work: account for heterogeneity, embed theoretical perspectives, infuse methodological innovation, adopt appropriate evaluation metrics, and deal with legal/ethical challenges in data-rich environments. Finally, several managerial implications are put forth to support practitioners in their personalization efforts.

This research provides an integration of personalization research beyond existing and outdated review papers. Doing so, it accounts for the impact of new technologies and Artificial Intelligence and aims to advance the next generation of knowledge development on personalization.

This paper aims to investigate information technology capabilities (ITC)’s influence on organizational performance (OP) within the hospitality industry. Specifically, it analyzes the indirect effects of sustainability practices (SP) and service quality (SQ) on the relationship between ITC and OP. The moderating effect of top management support (TMS) is also examined.

Using a three-wave time-lagged design, 507 UAE hotels' managers took part in the study. Hierarchical regression bootstrapping approach was used to examine the hypothesis.

This study suggests that ITC are positively related to OP. Furthermore, the study found that SP and SQ mediate the ITC-OP relationship. TMS moderates the positive relationship between ITC and OP and also moderates the relationship between SQ and OP. Additionally, TMS moderates the indirect effect of SQ on the association between ITC and OP, such that the mediating effect is stronger when TMS is at a high level.

The study shall assist the practitioners of the hospitality firms to focus their attention on ITC to improve SQ and hence achieve optimal performance.

The novelty of this research lies in the presentation of an integrated framework based on a resource-based view to solve the contemporary challenges facing hospitality firms operating in emerging markets in integrating ITC and SP for better organizational results.

The study aims to understand the association between subjective well-being, psychological well-being, work satisfaction and engagement amongst middle-level hospitality managers.

The data were collected from 624 middle-level hospitality managers working in two corporate hotel chains across five north-western states of India. Structural equation modelling (SEM) with a covariance-based approach (CB-SEM) was implemented using SPSS AMOS, adhering to a two-step process that included both measurement and structural models. The application of CB-SEM primarily aimed to (1) evaluate the cascading impacts across constructs and (2) scrutinise the concurrent relationships amongst constructs, with a specific focus on well-being (both psychological and subjective), context-specific job satisfaction and work engagement.

Evidently, the post-COVID-19 scenario found to be challenging for the hospitality industry. Thus, this empirical research posits that subjective and psychological well-being positively influences work engagement via work satisfaction as a mediator.

Given the people orientation in the hospitality sector, the research contributes to the existing body of literature by assessing the relationships between psychological and subjective well-being, work satisfaction and engagement amongst middle-level hotel managers employed in the corporate chain of hotels in India.

The firms’ adoption and improvement of big data analytics capabilities to improve economic and environmental performance have recently increased. This makes it important to discover the underlying mechanism influencing the association between big data analytics (BDA) and economic and environmental performance, which is missing in the existing literature. The present study discovers the indirect effect of green innovation (GI) and the moderating role of corporate green image (CgI) on the impact of BDA capabilities, including big data management capability (MC) and big data talent capability (TC), on economic and environmental performance.

A time-lagged design was employed to collect data from 417 manufacturing firms, and study hypotheses were evaluated using Mplus.

The empirical outcomes indicate that both BDA capabilities of firms significantly influence green innovation (GI), which significantly mediates the relationship between BDA and economic and environmental performance. Our findings also revealed that CgI strengthened the effect of GI on economic and environmental performance. The empirical evidence provides important theoretical and practical repercussions for manufacturing SMEs and policymakers.

This study contributes to the literature on BDA by empirically exploring the effects of MC and TC on improving the EcP and EnP of manufacturing firms. It does so through the indirect impact of GIs and the moderating effect of CgI, thereby extending the Dynamic capabilities view (DCV) paradigm.

This study aims to examine the impact of AI service robots on restaurant customers' engagement and acceptance and the moderating role of robot anthropomorphism on the relationship between AI robot service quality and customer engagement.

Using a three-wave time-lagged design, 416 customers of service robots-enabled restaurants participated in the study. Mplus was used to examine the hypotheses.

The results confirmed that customers' perception regarding automation, personalization, efficiency and precision of robot service quality determine customer engagement, which further influences customer acceptance of AI service robots. Additionally, robot anthropomorphism moderates the relationships between AI robot service quality in terms of automation, personalization, efficiency and precision and customer engagement. This study confirms that AI service robots-customer engagement contributes to better acceptance of AI service robots.

The proposed framework can be used as a diagnostic tool to enhance customer acceptance of AI service robots in restaurant settings. This research provides guidelines to restaurant owners to employ AI service robots in front-line services that provide better quality, ultimately enhancing customer engagement and acceptance.

This study fills the gap in the literature by investigating the influence of AI robot service quality on customer engagement and customer acceptance with the moderating effect of robot anthropomorphism in an emerging market context.