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Grounded in social cognitive career theory (SCCT), this study aims to examine the influence of contextual factors on the relationship between career satisfaction and organizational commitment, within the banking sector in Kuwait.

This study used a cross-sectional design analyzing a self-report questionnaire (N = 278).

This study investigates affective, normative and continuance commitment in relation to career satisfaction, within the banking sector in Kuwait. Findings indicate a positive relationship between career satisfaction and all of affective, normative and continuance commitment; although the relationship that appears to be the strongest is between career satisfaction and normative commitment.

The single site, cross-sectional approach is a limitation. The data were collected before the COVID-19 pandemic. Future research into career satisfaction and organizational commitment in different sectors is necessary and a replication of this study in a post-COVID context would also be valuable.

Human resource development (HRD) policies in contexts such as Kuwait should prioritize career progression initiatives to enhance career satisfaction and contribute to increased organizational commitment. More attention is necessary to organizational HRD career planning and development policies and processes. Effective line manager development programs to equip managers to provide feedback and constructive performance management are recommended, as is the organizational provision of career counseling and guidance to support career development policies and processes.

This study combines the use of established constructs with an SCCT theoretical lends to contribute new theorization of the relationship between career satisfaction and organizational commitment in non-Western cultural contexts. It challenges assumptions in current theorization of the relationship between career satisfaction and commitment that privilege affective commitment over other dimensions.

Previous literature reviews mainly focus on green supply chain, however, there is surprisingly little effort made in the systematic literature review to focus on a specific function of green supply chain, i.e. green procurement (GP). Regarding research methodology, most reviews are qualitative and inductive generalizations. Quantitative methods such as bibliometrics have started to be applied in recent years. This paper responds to this trend by counting the largest amount of literature with 238 articles in the last 24 years from 2000 to 2023 to visually analyze different theoretical perspectives and research topics into a comprehensive framework and identify future research directions and opportunities in the GP field.

Based on CiteSpace and in-depth content analysis, this paper attempts to visually analyze 238 valid papers to identify key literature and analyze the evolution of research hot spots and frontier development trends.

Combined with the visualization results and the content analysis of key references, we identify key literature and examine the evolution of research hotspots and frontier development trends. The bibliometric analysis mainly includes knowledge mapping to identify key themes, co-occurrence and clustering analysis of keywords, cooperation networks in researchers' countries. An overall GP research model is presented and our research suggests future avenues for GP research, such as low carbon, digitalization, servitization and ecosystem perspectives.

Firstly, in terms of time and volume of literature, we have counted the most comprehensive and up-to-date literature in the field of GP research, which is conducive to further expanding and enriching GP research. Secondly, this study clearly describes the theoretical evolution of GP research from bilateral and multilateral to ecosystem perspectives, and constructs a new and comprehensive research framework of “driver-practice-outcome”. Thirdly, based on the bibliometric analysis results, our research suggests future avenues for GP research, such as low-carbon, digitalization, servitization, and ecosystem perspectives, which can contribute to expanding our understanding of GP development.

This study aims to investigate the association of FinTech innovation (FinTechINN) and firm performance (FP) by considering the role of knowledge assets (KA) as a causal mechanism underlying the FinTechINN – FP association.

In this study, the authors consider panel data of 1,049 Chinese A-listed firm and construct a structural model for corporate FinTech innovation, knowledge assets and firm performance while considering endogeneity issues in analyses over the period of 2014–2022. The modified value added intellectual capital (VAIC) and research and development (R&D) expenses are used as a proxy measure for knowledge assets, considering governance and corporate performance measures.

According to the findings of this study FinTech innovation (FinTechINN) has a positive significant effect on firm performance. Particularly; the findings disclose that FinTech innovations has a link with knowledge assets, FinTech innovations indirectly affects firm performance, and the association between FinTech innovation and firm performance is partially mediated by knowledge assets (MVAIC and R&D expenses).

Rooted in the dynamic capability and resource-based view, this study pioneers an empirical exploration of the association of FinTech innovation with firm performance. Moreover, it introduces the novel dimension of knowledge assets (on firm-level), acting as a mediating factor with in this relationship.

In the context of omnichannel distribution development, this study aims to understand how and why trying products out helps people make good purchase decisions (i.e. decisions that they do not regret later).

The paper uses mixed methods consisting of an experiment (n = 162), a series of interviews with consumers (n = 16) and in-store observations (n = 202).

Results show that trying products out allows us to evaluate how they will fit, which increases purchase intention. They also indicate that trying leads to better decision-making.

This paper enriches product trial literature and sheds new light on how sales channels combine in omnichannel distribution.

The conclusions of this research will be useful to retailers who want to help consumers make better purchasing decisions.

Helping consumers make better decisions minimizes the societal impact of consumption by reducing the frequency of re-purchases and product returns.

The originality of this research lies in using mixed methods, providing a complete understanding of why consumers try products out and how they do so.

This study synthesises the self-determination theory (SDT), expectation-confirmation model (ECM), and protection motivation theory (PMT) to formulate an integrated theoretical framework that elucidates the process of shaping the intention to continue using facial recognition payment (FRP) under the conditional impact of perceived technology security.

Data from 667 Beijing Winter Olympics visitors with FRP experience were collected through an online survey and analysed using variance based-structural equation modelling (VB-SEM).

This study reveals that the intention to continue using FRP evolves through three key stages. Initially, in the expectation stage, the multidimensional concept of artificial autonomy (sensing, thought, and action), which is underpinned by self-determination, is pivotal, strongly influencing perceptions of service enhancement and fostering trust in FRP. Subsequently, the confirmation stage underscores the importance of perceived service enhancement and trust as vital drivers in maintaining FRP usage, while also contributing to subjective well-being. Crucially, perceived technology security emerges as a key moderating factor, enhancing positive perceptions and intentions towards FRP, thus influencing its sustained adoption.

This study stands out by revealing the nuanced interplay between artificial autonomy and user perceptions, particularly concerning service enhancement, technology security, and trust, as they influence well-being and the continued adoption of FRP. Robustly grounded in the integrated theoretical framework of SDT, ECM, and PMT, the study’s findings are critical for comprehending the core elements and specific drivers that promote sustained FRP use, especially as we consider its potential widespread implementation. Therefore, this study not only advances theoretical understanding but also offers practical guidance for optimising FRP deployment strategies in a rapidly evolving technological landscape.

This study aims to investigate the impact of several factors on customer satisfaction and intention of reusing ride-hailing services that is a new type of passenger urban transport service.

This research applied the Partial Least Squares Structural Equation Modeling analysis method to examine the measurement scale and to analyze the primary data collected from 388 passengers in Vietnam.

This study demonstrates that three dimensions of perceived value, namely, functional value, hedonic value and economic value, positively influence customer satisfaction. The other dimension of perceived value, which is social value, has an ambiguous effect on satisfaction. In addition, personal innovativeness promotes all dimensions of perceived value. In particular, this study highlights that customer satisfaction and corporate image positively impact reuse intention, and corporate image moderates the relationship between customer satisfaction and reuse intention.

This study enriches knowledge about customer behavior using services based on the sharing economy business model. In particular, theoretical and practical implications are provided for researchers and enterprises to find suitable strategies for business.

The study looks into the idea of Circular Economy through the lens of stock market performance. More specifically the authors examine if a company's association with the innovative and environment friendly disposal practices has an implication on its stock market performance.

The study adopts a quantitative approach to derive conclusions. The market efficiency and excess volatility are estimated using OHLC measures for more accuracy. For robustness checks VRatio, bootstrapping and simulation are used as detailed in section 3.2 of the study.

The study estimates show a clear sign of excess volatility in the majority of the stocks under consideration. That confirms that the market is highly fragmented for Circular Economy–focused stocks. These types of stocks are often cyclical in nature and can offer a variety investment opportunity in the short to medium term. In addition to it the study estimates confirm that Circular Economy–focused stocks show limited signs of market efficiency. Thus, unlike ESG investment the concept of Circular Economy investment is a bit more ambiguous to the global investors.

The present study is first of its kind that looks into the idea of Circular Economy through the lens of stock market performance.