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Rigorous applications of analytical tools in information systems (IS) research are important for developing new knowledge and innovations in the field. Emerging tools provide building blocks for future inquiry, practice and innovation. This article summarizes the findings of an analysis of the adoption and reporting of partial least squares structural equation modeling (PLS-SEM) analytical tools by Industrial Management & Data Systems authors in the most recent five-year period.

Selected emerging advanced PLS-SEM analytical tools that have experienced limited adoption are highlighted to broaden awareness of their value to IS researchers.

PLS-SEM analytical tools that facilitate understanding increasingly complex theoretical models and deliver improved prediction assessment are now available. IS researchers should explore the opportunities to apply these new tools to more fully describe the contributions of their research.

Findings demonstrate the increasing acceptance of PLS-SEM as a useful alternative research methodology within IS. PLS-SEM is a preferred structural equation modeling (SEM) method in many research settings and will become even more widely applied when IS researchers are aware of and apply the new analytical tools.

Emerging PLS-SEM methodological developments will help IS researchers examine new theoretical concepts and relationships and publish their work. Researchers are encouraged to engage in more complete analyses by applying the applicable emerging tools.

Applications of PLS-SEM for prediction, theory testing and confirmation have increased in recent years. Information system scholars should continue to exercise sound practice by applying these new analytical tools where applicable. Recommended guidelines following Hair et al. (2019; 2022) are included.

Loading the work on social capital theory, we have tried to check the influence of social currency (SC) on social media usage (SMU) and its subsequent impact on the brand experience (BE). The study attempted to ascertain the mediation of loyalty (LT) between the SC and SMU as well as the moderation of perceived ease of use (PEU) in the SMU and BE relationship.

The data were collected from 384 respondents employing snowball sampling technique by administering a questionnaire on seven-point Likert scale. The respondents were the active internet users, who devote the significant part of their daily routine to social media activities. Structural equation modelling was used to study the path of the considered variables.

The result of the study strengthened the findings of earlier studies on SC dimensions. This study elaborated about the positive impact of SC on SMU, SC on LT, LT on SMU, SMU on BE. The study also found the mediating effect of LT in the SC and BE relationship. The study did not identify a moderating role of PEU in the SMU and BE relationship.

By taking into account SC, SMU, LT, PEU and BE, the study adds the knowledge to the social capital theory.

This study aids marketers in adjusting social media strategies for the effective use of SC aimed to deliver enhanced BE. Additionally, it demonstrates the value of customer LT in the context of SC and SMU by customers.

This study is among the few research on the SC of the Indian user and its impact on SMU and BE. Checking the mediation of LT and the moderation of PEU in the SC context makes this study novel and different from any study conducted earlier.

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 transformative impact of digital innovations on education has reshaped academic landscapes, affecting both instructional methods and evaluation systems. This study delves into the realm of distance education, exploring the intricate dynamics of digital access, equity and inclusivity, with a particular focus on their influence on learning outcomes.

A comprehensive survey involving 360 participants was conducted to gather data on various facets of the digital learning environment. Descriptive statistics illuminated participants' perceptions, while digital access disparities were analyzed through a chi-square test. Structural equation modelling (SEM) assessed direct relationships, mediation and moderation analyses and elucidated the nuanced influence of demographic parameters.

Descriptive analysis revealed generally positive perceptions of digital learning, with some variability in aspects like accessibility of learning materials and Internet connectivity. Digital access disparities were evident across demographic parameters, highlighting significant associations with gender, education, income, geographic location, religious affiliation and field of study. SEM indicated robust positive associations between digital access and learning outcomes, strategies for enhancing equity and inclusivity and their combined impact on overall academic success.

This study contributes original insights by comprehensively analyzing the interplay of digital access, equity and inclusivity in distance education and their impact on learning outcomes. The research unveils nuanced disparities across demographic dimensions, emphasizing the need for targeted interventions. The study’s integration of SEM, mediation and moderation analyses adds a sophisticated layer to the understanding of these relationships.

In recent years, “Corporate Social Responsibility” (CSR) has gained significant traction as a strategic concept embraced by business managers. However, there remains a dearth of comprehensive research exploring the impact of CSR on “Green Entrepreneurial Orientation” (GEO), a firm’s sustainability performance, and their interplay with other influential factors. Therefore, this study aims to explore how CSR, “Policy Awareness” (PA), and “Personal Innovativeness” (PI) influence GEO and “Sustainable Performance” (SP). The research also delves into understanding the mediating role of GEO and how this mediation is moderated by “Green Innovation” (GI).

Drawing from the “natural resource-based view” (NRBV) theory and employing “partial least square structural equation modeling” (PLS-SEM), the study analyzed a sample of 137 Indian manufacturing “micro, small, and medium enterprises” (MSMEs).

The results underscore the positive associations of CSR and PA with both GEO and SP. Additionally, the findings highlight the moderating effects of GI in enhancing firms' sustainability performance. The moderated mediation analysis reveals that CSR significantly contributes to SP by fostering the adoption of GEO.

These study outcomes offer valuable insights for policymakers, managers, and entrepreneurs, emphasizing the importance of crafting effective CSR strategies intertwined with innovativeness to cultivate a conducive green entrepreneurial ecosystem in businesses aligned with sustainable development goals.

There is a paucity of research on the determinants of GEO within the context of manufacturing MSMEs, especially in developing and underdeveloped nations. Furthermore, no previous study has delved into the factors that underlie GEO using a moderated mediation framework, particularly within the Indian manufacturing MSMEs landscape.

Nowadays, it is hard to retain a knowledge monopoly since tacit knowledge has become essential for innovation and organizational effectiveness (ORP). This study analyzed the role of product innovation as a mediator in the relationship between the tacit knowledge management process (TKMP) and organizational performance. In addition, two moderating variables were examined: (1) Affective trust (AFT) between the tacit knowledge management process and product innovation relationship and (2) Task efficiency in product innovation and organizational performance (ORP) relationship.

Around 344 questionnaires were collected from various Chinese regions between February and April 2023 to conduct this study. The regression, mediation and moderation analyses on lower and higher-order data were evaluated using the SmartPLS approach.

The results validate that product innovation mediates the connection between managing tacit knowledge and the organization’s performance. Affective trust also plays a positive moderating role between tacit knowledge and product innovation. These results provide valuable theoretical and practical insights, substantiating various direct, indirect, mediate, and moderated effects hypotheses.

The scope of the study was restricted to manufacturing companies; however, further research may broaden the model’s scope to include other industries. Furthermore, future research should continue to explore the role of task efficiency in the innovation process and identify strategies for enhancing task efficiency in organizations.

The study establishes the significance of effectively managing tacit knowledge for fostering product innovation. Company managers and leaders can promote employee trust, enhancing innovation capabilities and overall organizational effectiveness.

This study, involving dual moderation, explores the connections between processes of managing tacit knowledge, product innovation and organizational performance. It addresses research gaps, enriching the understanding of managing tacit knowledge, leading to organizational innovation and performance improvements. The study also highlights how affective trust is vital in strengthening the connection between TKMP and product innovation.

Based on the Social Exchange Theory (SET), the paper attempts to extend the research on the relationship between green self-managed teams and firm performance by exploring the serial mediation of extra-role green behavior and environmental performance. Furthermore, via moderated mediation, the study inspected the differences in relationships among these variables for manufacturing and service organizations.

Data of 407 respondents from 122 manufacturing and service organizations (having green self-managed teams) operating in India were collected using purposive sampling. Various statistical techniques like confirmatory factor analysis (CFA), correlations, multiple regressions and bootstrapping were employed.

The results indicated that extra-role green behavior and environmental performance served as serial mediators. Additionally, the nature of the organizations significantly moderated several indirect relationships, with one pathway found to be insignificant.

The study may be limited by the fact that the data were collected at a single moment in time rather than using a longitudinal design.

The study guides service organizations to attract environmentally conscious employees by promoting green self-managed teams and manufacturing organizations to enrich their operations and service delivery through such teams.

The study uniquely examines how green self-managed teams addressing environmental issues contribute to improved firm performance through mutual exchanges. It also advances existing literature by conducting a comparative analysis across manufacturing and service organizations in an emerging Indian market.

The main aim of this paper is to explore the influence mechanisms of perceived organizational politics (POP) on employee performance (EP). Drawing on the job demands-resources theory (JD-R), this paper investigates opportunistic silence (OS) as a mediating factor and job level as a moderating effect in the POP-OS-performance relationship.

This study’s data were collected from 203 employees working in Indian high-power distance organizations (HPDOs), such as the military, police and security forces. Mediation and moderation analysis were conducted using PLS-SEM, and the moderated mediation index was calculated using Hayes PROCESS Macro.

The results indicate that OS fully mediates the POP-performance relationship – specifically, POP as a job demand activates OS, which acts as an energy/resource depleting mechanism and further deteriorates task performance. Interestingly, the overall negative influence of POP and OS on EP was stronger for employees at lower job levels than those at senior job levels.

This paper offers a unique set of findings that enrich the understanding of factors responsible for employees’ performance in the highly political environments of HPDOs. By using the lens of JD-R theory, this paper draws attention towards the tendency of employees to indulge in self-serving behaviours like OS in politically charged contexts which is detrimental to their performance and may also undermine overall organization’s productivity. Furthermore, this paper also highlights the conditional effects exerted by job level in the unique nexus of POP, OS and EP.

This study aims to focus on exploring the role of fear of missing out (FOMO) in the technology adoption context, whereby the bottom-of-the-pyramid (BOP) segment was studied to explore the factors responsible for the development of behavioural intentions (BI) to use unified payments interface (UPI), a disruptive technological phenomenon in the mobile payment systems field.

A mixed-method research approach involving both qualitative and quantitative methods was used. Initially, qualitative data obtained through interviews with UPI’s BOP users were subjected to thematic analysis, leading to the identification of eight factors and the construction of a conceptual model. Subsequently, 354 responses were gathered, and empirical analysis was conducted using structural equation modelling in AMOS 23.0.

Eight factors, including personal and social benefits, perceived security risk, socio-cultural influences, governmental influence, usability, psychological inertia, perceived value (PV) and FOMO, were discovered. The quantitative examination confirmed the validity of the conceptual model in the BOP context, explaining 51% of the variance in BI. FOMO and PV emerged as robust indicators of UPI adoption, with PV significantly regulating the impact of FOMO.

To the best of the author’s knowledge, this study is one of the first to explore what drives BOP users in an emerging economy to adopt UPI. The conceptual model it presents contributes to the advancement of technology adoption literature by incorporating FOMO alongside newly identified BOP-specific factors.

The purpose of this study is to investigate the influence of green finance on human well-being in China in the context of urbanization and aging population. It aims to explore the contributions of green finance in such demographic scenarios.

This study innovates and optimizes the calculation of the carbon intensity of human well-being (CIWB) index and strengthens the integrity of the assessment model for green finance development. It uses the serial multiple mediator model and moderation effect analysis to address the impact of green finance on human well-being in China on the provincial level from 2009 to 2020.

Green finance has a significant, positive and direct impact on human well-being. Simultaneously, it influences human well-being indirectly through three transmission channels. Urbanization and an ageing population are significant individual mediators through which green finance contributes to human well-being improvement. Notably, these two mediators also work together to transfer the promotional impact of green finance to human well-being.

The government can perfect the regulations to strengthen the market ecosystem to accelerate the development of green finance. Reforms on the administrative division to expand the size of cities with the implementation of ageing friendly development strategy is also necessary. Attracting incoming foreign direct investment in sustainable projects and adjusting public projects and trade activities to fulfil the sustainable principles are also regarded as essential.

The findings challenge traditional views on the impact of aging populations, highlighting the beneficial role of green finance in improving well-being amidst demographic changes. This offers a new perspective on economic and environmental sustainability in aging societies.

A multi-dimensional well-being indicator, CIWB and the serial multiple mediator model are used and direct and indirect impacts of green finance on human well-being is exhibited. It offers novel insights on the transmission channels behind, identifies the mediating role of urbanization and ageing population and offers empirical evidences with strong academic and policy implications.