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The purpose of this study is to assess the effect of perceived role clarity on innovative work behavior (IWB) through the mediation of intrinsic motivation and job involvement.

The data were gathered from 613 employees belonging to 196 organizations operating in India. Data were analyzed using statistical tools such as exploratory and confirmatory factor analysis, multiple regressions and bootstrapping via PROCESS.

Initially, the results of correlation and multiple regression analyses indicated that the perceived role clarity has positive relation with intrinsic motivation, job involvement and IWB. Further, bootstrap analysis revealed that intrinsic motivation and job involvement individually and serially mediate the effect of perceived role clarity on IWB.

The study highlights the importance of the perceived role clarity in developing positive work attitudes and innovative behavior among employees. Self-reported survey and cross-sectional design are the limitations of the current study.

The study suggests that organizations should strive constantly to enhance perceptions of role clarity among employees so that they remain motivated and involved in their jobs and exhibit innovative behavior at work.

To the best of the authors’ knowledge, this is the only study to test the impact of perceived role clarity on IWB with the serial mediation of intrinsic motivation and job involvement.

Critics say cryptocurrencies are hard to predict and lack both economic value and accounting standards, while supporters argue they are revolutionary financial technology and a new asset class. This study aims to help accounting and financial modelers compare cryptocurrencies with other asset classes (such as gold, stocks and bond markets) and develop cryptocurrency forecast models.

Daily data from 12/31/2013 to 08/01/2020 (including the COVID-19 pandemic period) for the top six cryptocurrencies that constitute 80% of the market are used. Cryptocurrency price, return and volatility are forecasted using five traditional econometric techniques: pooled ordinary least squares (OLS) regression, fixed-effect model (FEM), random-effect model (REM), panel vector error correction model (VECM) and generalized autoregressive conditional heteroskedasticity (GARCH). Fama and French's five-factor analysis, a frequently used method to study stock returns, is conducted on cryptocurrency returns in a panel-data setting. Finally, an efficient frontier is produced with and without cryptocurrencies to see how adding cryptocurrencies to a portfolio makes a difference.

The seven findings in this analysis are summarized as follows: (1) VECM produces the best out-of-sample price forecast of cryptocurrency prices; (2) cryptocurrencies are unlike cash for accounting purposes as they are very volatile: the standard deviations of daily returns are several times larger than those of the other financial assets; (3) cryptocurrencies are not a substitute for gold as a safe-haven asset; (4) the five most significant determinants of cryptocurrency daily returns are emerging markets stock index, S&P 500 stock index, return on gold, volatility of daily returns and the volatility index (VIX); (5) their return volatility is persistent and can be forecasted using the GARCH model; (6) in a portfolio setting, cryptocurrencies exhibit negative alpha, high beta, similar to small and growth stocks and (7) a cryptocurrency portfolio offers more portfolio choices for investors and resembles a levered portfolio.

One of the tasks of the financial econometrics profession is building pro forma models that meet accounting standards and satisfy auditors. This paper undertook such activity by deploying traditional financial econometric methods and applying them to an emerging cryptocurrency asset class.

This paper attempts to contribute to the existing academic literature in three ways: Pro forma models for price forecasting: five established traditional econometric techniques (as opposed to novel methods) are deployed to forecast prices; Cryptocurrency as a group: instead of analyzing one currency at a time and running the risk of missing out on cross-sectional effects (as done by most other researchers), the top-six cryptocurrencies constitute 80% of the market, are analyzed together as a group using panel-data methods; Cryptocurrencies as financial assets in a portfolio: To understand the linkages between cryptocurrencies and traditional portfolio characteristics, an efficient frontier is produced with and without cryptocurrencies to see how adding cryptocurrencies to an investment portfolio makes a difference.

This paper aims to examine and overcome the barriers to the widespread adoption of blockchain technology, introducing a novel concept of sustainability in the fashion supply chain.

This work is an exploratory study of a well-known fashion company operating in the Veneto region (Italy). Data extracted from interviews and focus groups are coded using the (CAQDAS) software AQUAD. The outcome is then organized according to an adapted TOE view.

This exploration study's findings support the idea that the blockchain solution could be a valuable add-on in sustainable supply chains. However, a high understanding of technology and extensive communication with clients is required for successful integration.

Being the outcome of qualitative analysis, the findings require further investigation to be inferable at a broader scale. As the project is still incomplete, some managerial choices are always subject to change.

Focused on a practitioner approach, this paper should guide managers in the process of successfully implementing blockchain technology. Arguably, similar companies may opt for similar choices.

To the best of the authors' knowledge, this is the first paper to contextualize and address the blockchain adoption barriers in the fashion supply chain. Furthermore, it offers an overview of how blockchain affects sustainable production.

The present study aimed to examine the relationship between information and communication technologies (ICT) diffusion, financial development and economic growth in the panel of developing countries for 2005–2019.

The study employed the principal component analysis (PCA) to extract the index of ICT diffusion. First-generation panel unit root tests such as Levine Lin Chu (LLC), Im Pesaran Shin (IPS), Augmented Dickey-Fuller (ADF) and Phillips and Perron (PP) were employed to check the stationarity of the variables. Pedroni and Kao co-integration techniques were used to examine the existence of the long-run relationship, and co-integration coefficients were estimated using FMOLS and dynamic ordinary least squares (DOLS). The panel Granger causality approach examined the short-run and long-run causality.

The results confirmed that ICT diffusion, financial development and trade openness accelerate growth, whereas inflation dampens economic growth. Further, the causality test showed bidirectional causality between ICT growth and financial development growth but a unidirectional causality from financial development to ICT diffusion in developing countries.

The study recommends synchronizing public and private sector investment for a synergistic effect on ICT infrastructure and adequate investment in the financial sector to increase the growth rate in developing countries. Economic policies should be adopted toward incentives and subsidies to ensure affordable ICT services for disadvantaged communities. Also, training programs focussing on enhancing digital literacy to enable all segments of the population to use digital platforms for financial services are recommended.

Recognizing the importance of Robo-advisors in digital financial services, this paper aims to analyse the users’ perception and acceptability of artificial intelligence (AI) in digital investment solutions using an extended “Technology Acceptance Model” (TAM).

The model is tested using 454 online valid responses received from Indian Fintech users via direct path analysis, mediation and moderation.

The study’s findings show that trust, perceived usefulness and perceived risk all significantly impact users’ attitudes towards Robo-advisors. In contrast, ease of use and social influence did not impact users’ attitudes statistically. Furthermore, the results indicate that their attitudes and ease of use influence users’ intentions to adopt Robo-advisors. Moreover, the moderation effect of gender partly supports the overall model. Specifically, in the path between attitudes and their antecedents, gender plays a role in influencing the relationships among these variables. This aligns with preliminary research in the field, providing additional insight into how gender may moderate the factors influencing users’ attitudes and intentions regarding Robo-advisory services.

This research study also reveals that trust, perceived risk, ease of use and demographic factors influence the adoption of Robo-advisory services. It is functional, but its sample selection is not probabilistic and overly emphasizes gender. Future research should use probabilistic sampling, other demographic factors and experience and situational factors. Also, it is necessary to examine how convenient and satisfying it is to communicate with service providers. Filling these gaps will improve the knowledge of consumer behaviour in the context of Fintech adoption and develop the current research.

This study posits that perceived usefulness, trust, perceived risk and ease of use remain core determinants of adopting Robo-advisory services. So, to improve the level of trust of users, it is necessary to develop security measures, data clarity and quality and customer support. Enhancing ease of use by incorporating better interface gestures is always beneficial for increasing the number of users and their level of satisfaction. As identified in previous studies, practical solutions will be achieved by pursuing the increased use of technology while leveraging AI for personal services and minimizing perceived risks, which will strengthen more advanced security measures as well as sufficiently clear communication.

The paper aims to extend the TAM by incorporating measures of trust and social influence to identify the factors that drive the adoption of Robo-advisors. In doing so, the paper may contribute to developing a more comprehensive understanding of the factors that shape consumers’ attitudes and intentions towards these technologies. Moreover, the paper appears to examine the moderating effect of gender on attitude and its predictors, which could provide insights into how gender characteristics may impact the adoption of Robo-advisors.

The integration of augmented reality retail technology (ARRT) in retailing industry has emerged as a key driver for transforming the consumer experiences and driving online sales. However, inconsistent findings in the existing research literature highlight the need for subsequent research efforts. The purpose of this study is to examine how augmented reality (AR) features like interactivity, flow experiences, augmentation and consumer engagement, contribute to retailer’s success in the online marketplaces.

This meta-analysis study uses the theoretical lens of task-technology fit to synthesize and analyze the empirical results of existing AR studies published until March 2024.

All ARRT features examined in this study directly impacted online buyers’ purchase intention. Moderators’ analysis only partially supported the hypotheses proposing a significant difference in the effect size of ARRT features on purchase intention based on the country’s GDP per capita and innovation level. While GDP per-capita moderated three relationships, innovation level moderated four out of six interactions studied.

This meta-analysis enhances the existing ARRT literature by using the task-technology fit theoretical framework, offering a dual perspective encompassing customers and businesses. Unlike popular technology innovation theories and models, such as Unified Theory of Acceptance and Use of Technology and technology acceptance model, which predominantly focus on consumers, this perspective provides concrete directions for designing AR-enabled retail platforms that meet the task requirements of both consumers and retailers.

La integración de la Tecnología de Realidad Aumentada en el Comercio Minorista (ARRT, por sus siglas en inglés) ha surgido como un factor clave para transformar las experiencias de los consumidores y fomentar las ventas en línea. Sin embargo, los hallazgos inconsistentes en la literatura de investigación actual destacan la necesidad de más esfuerzos de investigación para comprender cómo características de RA, como por ejemplo la interactividad, las experiencias de flujo, la aumentación y el compromiso del consumidor, contribuyen al éxito de los minoristas en los mercados en línea.

Este estudio de meta-análisis utiliza el marco teórico de ajuste tarea-tecnología para sintetizar y analizar los resultados empíricos de estudios de RA publicados hasta marzo de 2024.

Todas las características de ARRT examinadas en este estudio impactaron directamente en la intención de compra de los compradores en línea. El análisis de moderadores solo apoyó parcialmente las hipótesis que proponían una diferencia significativa en el tamaño del efecto de las características de ARRT sobre la intención de compra, en función del PIB per cápita y el nivel de innovación del país. Mientras que el PIB per cápita moderó tres relaciones, el nivel de innovación moderó cuatro de las seis interacciones estudiadas.

Este meta-análisis mejora la literatura existente de ARRT al emplear el marco teórico de ajuste tarea-tecnología, ofreciendo una perspectiva dual que abarca a consumidores y empresas. A diferencia de las populares teorías y modelos de innovación tecnológica, como la Teoría Unificada de Aceptación y Uso de Tecnología (UTAUT) y el Modelo de Aceptación de Tecnología (TAM), que se centran predominantemente en los consumidores, esta perspectiva proporciona orientaciones concretas para diseñar plataformas de comercio minorista habilitadas para RA que satisfagan los requisitos de tareas tanto de consumidores como de minoristas.

增强现实零售技术（ARRT）的整合已成为零售行业转变消费者体验、推动在线销售的重要驱动力。然而, 现有研究文献中的不一致发现表明, 需要进一步研究来深入理解增强现实功能（如交互性、流体验、增强效果和消费者参与度）如何在推动零售商在线市场成功中发挥作用。

本研究以任务-技术契合理论为视角, 对截至2024年3月发表的增强现实相关实证研究进行了元分析, 以系统整合和深入分析现有研究成果。

研究中考察的所有ARRT功能均直接影响在线买家的购买意向。调节效应分析部分支持了假设, 即ARRT功能对购买意向的效应大小因国家人均GDP和创新水平而异。具体而言, 人均GDP对三种关系起到调节作用, 创新水平则调节了六种关系中的四种。

本项元分析运用任务-技术契合理论框架, 深化了现有ARRT文献, 通过顾客与企业双重视角提供洞见。不同于以统一技术接受与使用理论（UTAUT）和技术接受模型（TAM）等为代表的流行技术创新理论和模型, 这一视角为设计符合消费者和零售商任务需求的AR零售平台提供了切实的指导。

The paper proposes a framework for the successful deployment of Industry 4.0 (I4.0) principles in the aerospace industry, based on identified success factors. The paper challenges the perception of I4.0 being aligned with de-skilling and personnel reduction and instead promotes a route to successful deployment centred on upskilling and retaining personnel for future role requirements.

The research methodology involved a literature review and industrial data collection via questionnaires to develop and validate the framework. The questionnaire was sent to a purposive sample of 50 respondents working in operations, and a response rate of 90% was achieved. Content analysis was used to identify patterns, themes, or biases, and the data were tabulated based on specific common attributes. The proposed framework consists of a series of gates and criteria that must be met before progressing to the next gate.

The proposed framework provides a feedback mechanism to review minimum standards for successful deployment, aligned with new developments in capability and technology, and ensures quality assessment at each gate. The paper highlights the potential benefits of I4.0 implementation in the aerospace industry, including reducing operational costs and improving competitiveness by eliminating variation in manufacturing processes. The identified success factors were used to define the framework, and the identified failure points were used to form mitigation actions or controls for inclusion in the framework.

The paper provides a framework for the successful deployment of I4.0 principles in the aerospace industry, based on identified success factors. The framework challenges the perception of I4.0 as being aligned with de-skilling and personnel reduction and instead promotes a route to successful deployment centred on upskilling and retaining personnel for future role requirements. The framework can be used as a guideline for organizations to deploy I4.0 principles successfully and improve competitiveness.

The purpose of this systematic review is to critically analyze pharmaceutical industry case studies on the implementation of Lean 4.0 methodologies to synthesize key lessons, benefits and best practices. The goal is to inform decisions and guide investments in related technologies for enhancing quality, compliance, efficiency and responsiveness across production and supply chain processes.

The article utilized a systematic literature review (SLR) methodology following five phases: formulating research questions, locating relevant articles, selecting and evaluating articles, analyzing and synthesizing findings and reporting results. The SLR aimed to critically analyze pharmaceutical industry case studies on Lean 4.0 implementation to synthesize key lessons, benefits and best practices.

Key findings reveal recurrent efficiency gains, obstacles around legacy system integration and data governance as well as necessary operator training investments alongside technological upgrades. On average, quality assurance reliability improved by over 50%, while inventory waste declined by 57% based on quantified metrics across documented initiatives synthesizing robotics, sensors and analytics.

As a comprehensive literature review, findings depend on available documented implementations within the search period rather than direct case evaluations. Reporting bias may also skew toward more successful accounts.

Synthesized implementation patterns, performance outcomes and concealed pitfalls provide pharmaceutical leaders with an evidence-based reference guide aiding adoption strategy development, resource planning and workforce transitioning crucial for Lean 4.0 assimilation.

This systematic assessment of pharmaceutical Lean 4.0 adoption offers an unprecedented perspective into the real-world issues, dependencies and modifications necessary for successful integration, absent from conceptual projections or isolated case studies alone until now.

This paper aims to find the best tools to influence the improvement of sustainability in food supply chains (FSCs) by conducting a systematic review of articles. The reader will learn how the different industry 4.0 tools (I4.0T) benefit the FSC and the limitations of each tool.

A review of 436 articles published during the period 2019 to 2022 referenced in the Scopus and Web of Science databases was performed. The review was limited to articles published in English and directly related to Industry 4.0, circular economy and sustainability in the food supply chain.

The results show different contributions of I4.0, with some being more influential than others in improving sustainability in FSCs; for example, Internet of Things and Blockchain have been shown to contribute more toward transparency, traceability, process optimization and waste reduction.

The paper's contribution consisted of ranking according to their importance and the I4.0T that affect sustainability in FSCs by classifying the aspects of each tool and the sustainability factors through a categorization by the Analysis Hierarchy Process.

The purpose of this paper is to consider the climatic variables and evaluate the role of non-climatic factors that delicately influence agriculture. This study has come across various adaptation strategies such as modification in cultivation practices such as shifting planting dates, water-saving techniques and strategic nutrient management. Meanwhile, we are trying to forget the ground reality that a majority of the farmers are not aware of climate-resilient production technologies. However, farmers modify themselves in this climate change scenario for sustainable production. The practise of these adaptation strategies helps to reduce vulnerability to improve their “socio-economic status” and the “quality of life”.

The present study was attempted to document all the indigenous practices, which are practised by paddy-growers over time for confronting the climate crisis in the Hyderabad-Karnataka region of Karnataka state, India. A cross-sectional and questionnaire-based survey was conducted to collect primary data. The pre-tested interviewing questionnaire consisted of 7 sections with 51 questions. A total of 90 paddy-growing farmers of the region was selected as respondents for the survey. The descriptive statistics was used to analyse the collected data.

In respect of adopted strategies, the vast majority (96.67%) of the farmers had used crops as livestock fodder as they fall back in case of failure, followed by the majority (72.22%) of the selected appropriate varieties. Cent per cent of the farmers adopted the construction of waterways along the slope for safe disposal of rainwater. An overwhelming portion of the farmers adopted levelling of the land in between the bunds (96.67%) and construction of bunds to conserve moisture (95.56%). The majority (76.67%) of the farmers intensified agricultural activities on irrigated land. Nearly half of them (47.78%) paddy growers were practising zero tillage to save time and money.

The current study was carried out in a few districts of Karnataka. Hence, any policy framed based on the outcomes of this study may not conform to the policy specification needs in general to other parts of the country. The farmers did not maintain record books for updating various records. Therefore, the accuracy of data depends on the memory of the respondents. However, the researcher had made every possible effort to make sure that the data collected are the best of the knowledge of the respondents and bear minimal distortions.

The major constraints to applying agricultural adaptation strategies in the study area have been a general lack of knowledge, expertise and data on climate change issues; a lack of specific climate change institutions to take on climate change work and the need for a better institutional framework in which to implement adaptation. Actions to address these gaps include, namely, training programmes for local government officials, dedicated research activities and post-graduate courses and the initiation of specific institutional frameworks for climate change. Furthermore, improving and strengthening human capital, through education, outreach and extension services, improves decision-making capacity at every level and increases the collective capacity to adapt.

Hyderabad-Karnataka is already under pressure from climate stresses, which increases vulnerability to further climate change and reduces adaptive capacity. The adverse effects of climate change have a devastating effect particularly on paddy cultivation, which is the mainstay of most Hyderabad-Karnataka Region. This has affected food production with its resultant effect on widespread poverty. Farmers in the study area have developed traditional agricultural adaptation strategies to cope with climate variability and extreme events. Experience with these strategies needs to be shared among communities.

Though the many literatures were available on the adaptation strategies for climate change this research is one of the few studies to document the farmer led adaptation strategies. This study provides a better understanding of the importance of farmer led adaptation strategies which in turn helps to develop or modify the existing adaptation technologies to cope up with climate change. The authors have come across various adaptation strategies such as modification in cultivation practices such as shifting planting dates, water-saving techniques and strategic nutrient management. Meanwhile, we are trying to forget the ground reality that the majority of the farmers are not aware of climate-resilient production technologies. However, farmers modify themselves in this climate change scenario for sustainable production. The practise of these adaptation strategies helps to reduce vulnerability to improve their “socio-economic status” and the “quality of life”. Therefore, farmer-led adaptation strategies to confront with a change in climate require to be recorded.