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India has been on the pathway of improvement concerning healthcare and health outcomes of its population. However, India must overcome its unique challenges and cover a long journey ahead. This mandates a need for a high-quality, contemporary and community-based health system that promises consistent and quality healthcare, is trusted and valued by all its citizens, considers the changing population needs and should be affordable and accessible.

The study examines various dimensions and elements associated with the integrated healthcare system in India and uses input, process and output structural measures.

The present paper proposes an integrated, comprehensive healthcare system in India that endorses participation from diverse stakeholders such as the government, organizations, the community and individuals who can contribute uniquely. It also focuses on defined and measurable output that can make health a topic of social movement or “Jan Andolan” and create a sustainable and integrated care system.

The study is unique as it focuses on the role of stakeholders in health care. The research emphasized the involvement of the government, community, people and organizations in developing an integrated healthcare ecosystem that includes modern technology, skilled employees, enough finance, governance, efficient delivery platforms and top-tier infrastructure. The model’s output is focused on healthcare that is inexpensive, accessible, available, accountable and user-centered. This would gradually improve everyone’s health and well-being.

Decision making is inherently stressful since the decision maker must choose between potentially conflicting alternatives with unique hazards and uncertain outcomes. Whereas decision aids such as decision support systems (DSS) can be beneficial in stressful scenarios, decision makers sometimes misuse them during decision making, leading to suboptimal outcomes. The purpose of this paper is to investigate the relationship between stress, decision making and decision aid use.

The authors conduct an extensive multi-disciplinary review of decision making and DSS use through the lens of stress and examine how stress, as perceived by decision makers, impacts their use or misuse of DSS even when such aids can improve decision quality. Research questions examine underlying sources of stress in managerial decision making that influence decision quality, relationships between a decision maker’s perception of stress, DSS use/misuse, and decision quality, and implications for research and practice on DSS design and capabilities.

The study presents a conceptual model that provides an integrative behavioral view of the impact of a decision maker’s perceived stress on their use of a DSS and the quality of their decisions. The authors identify critical knowledge gaps and propose a research agenda to improve decision quality and use of DSS by considering a decision maker’s perceived stress.

This study provides a previously unexplored view of DSS use and misuse as shaped by the decision and job stress experienced by decision makers. Through the application of four theories, the review and its findings highlight key design principles that can mitigate the negative effects of stressors on DSS use.

This chapter assesses how gender and disability status intersect to shape employment and earnings outcomes for working-age adults in the United States.

The research pools five years of data from the 2010–2015 Current Population Survey to compare employment and earnings outcomes for men and women with different types of physical and cognitive disabilities to those who specifically report work-limiting disabilities.

The findings show that people with different types of limitations, including those not specific to work, experienced large disparities in employment and earnings and these outcomes also varied for men and women. The multiplicative effects of gender and disability on labor market outcomes led to a hierarchy of disadvantage where women with cognitive or multiple disabilities experienced the lowest employment rates and earnings levels. However, within groups, disability presented the strongest negative effects for men, which created a smaller gender wage gap among people with disabilities.

This chapter provides quantitative evidence for the multiplicative effects of gender and disability status on employment and earnings. It further extends an intersectional framework by highlighting the gendered aspects of the ways in which different disabilities shape labor market inequalities. Considering multiple intersecting statuses demonstrates how the interaction between disability type and gender produce distinct labor market outcomes.

The study aims to investigate the impact of social media influencer information overload (SMIIO) on customer purchase avoidance through mediation of customer confusion along with the moderation of prior product knowledge through the stressor-strain-outcome (SSO) framework.

The data collected from 429 participants (YouTube and Instagram followers) from an online survey were analyzed using structural equation modeling.

The findings reveal that SMIIO significantly leads towards customer purchase avoidance. Customer confusion mediates between SMIIO and purchase avoidance, while prior product knowledge weakens the impact of SMIIO on confusion through moderation.

The findings provide a wide range of applications for brand managers and social media influencers to adopt clear, concise communication strategies. Reducing information overload and minimizing confusion can enhance consumer decision-making. Tailored messaging based on consumer product knowledge can further optimize marketing efforts and reduce purchase avoidance.

This study uniquely applies the SSO framework to examine the effects of SMIIO on purchase avoidance, highlighting the mediating role of customer confusion and the moderating influence of prior product knowledge, offering a fresh perspective on consumer behavior.

This study aims to further the understanding of employees’ engagement by explaining their organizational commitment through their perception of the availability of work-life benefits in the organization. This study also investigates the mediating role of job satisfaction in this context.

The model was tested on the primary data collected in two phases from 270 teaching professionals in higher education institutes in Northern India. Barren and Kenny’s algorithm and hierarchical regression analysis were used to test the hypotheses.

The results reveal that employees’ perception of work-life benefits strongly influences their organizational commitment. Also, the results support that employees’ job satisfaction mediates the above-mentioned relationship.

Self-reported data could be considered as a key limitation of this study and for more accurate results supervisors’ (line managers) perspective could also be included in future studies. Also, in addition to perceived work-life benefits, supervisors’ support could also have an impact on employees’ commitment, thus its inclusion in the model could draw a clearer picture.

This research has two key contributions: first, it adds to the limited literature examining the employees’ engagement issues in the academic sector. Second, this research is one of, if not the first, to investigate perceived work-life benefits among third-level teaching staff in India to explain employees’ commitment to their organizations.

This conceptual paper aims to provide a further understanding of the impact of economic policy uncertainty (EPU), news framing and information overload on panic buying behavior during the COVID-19 pandemic.

Drawing on earlier research and news releases about the COVID-19 outbreak, this paper advances testable propositions based on the protection motivation theory and information processing theory.

This paper infers that the major shift in consumer decision-making towards panic buying is a result of high EPU. International reports have contributed to deepening this uncertainty, and the consequences of this EPU are expected to affect the economic recovery through 2022. Furthermore, the adoption of particular frames of the pandemic has played a key role in the dissemination of misinformation and fake news during the public health crisis and affected purchasing decisions. The study also infers that the perceived threat among consumers is driven by information overload as a source of mistrust towards economic and health information sources.

This paper addresses two theoretical gaps associated with consumer buying behaviour. First, it highlights the impact of EPU, as a macroeconomic indicator, on consumer buying behaviour. Second, this paper is an attempt to integrate theories from different disciplines to foster an adequate understanding of buying behavior during the COVID-19 outbreak period.

With the shift to an information-based society and to the de-centralisation of information, information overload has attracted a growing interest in the computer and information science research communities. However, there is no clear understanding of the meaning of the term, and while there have been many proposed definitions, there is no consensus. The goal of this work was to define the concept of “information overload”. In order to do so, a concept analysis using Rodgers' approach was performed.

A concept analysis using Rodgers' approach based on a corpus of documents published between 2010 and September 2020 was conducted. One surrogate for “information overload”, which is “cognitive overload” was identified. The corpus of documents consisted of 151 documents for information overload and ten for cognitive overload. All documents were from the fields of computer science and information science, and were retrieved from three databases: Association for Computing Machinery (ACM) Digital Library, SCOPUS and Library and Information Science Abstracts (LISA).

The themes identified from the authors’ concept analysis allowed us to extract the triggers, manifestations and consequences of information overload. They found triggers related to information characteristics, information need, the working environment, the cognitive abilities of individuals and the information environment. In terms of manifestations, they found that information overload manifests itself both emotionally and cognitively. The consequences of information overload were both internal and external. These findings allowed them to provide a definition of information overload.

Through the authors’ concept analysis, they were able to clarify the components of information overload and provide a definition of the concept.

This study aims to investigate the impact of green shared vision (GSV) and green knowledge sharing (GKS) on eco-innovation types and further investigates the impact of these types on sustainable competitive advantage (SCA) and sustainable business performance (SBP) within the food manufacturing and food processing small- and medium-sized enterprises (SMEs) of a developing country.

Partial least square structural equation modeling technique was used to test the hypotheses. Simple random sampling was used, and data were collected from 312 owners/managers of food manufacturing and processing SMEs.

The results reveal a significant positive relationship between GSV, GKS and eco-innovation types. Furthermore, it was revealed that all three types of eco-innovation are significantly related to SCA and SBP.

The results of this research will assist food manufacturing and food processing SMEs in reducing their eco-footprint to gain SCA and SBP. Furthermore, policymakers and governing bodies may implement strong regulations to curtail eco-pollution.

To the best of the authors' knowledge, this is the first study that incorporates the concept of eco-innovation in food processing and food manufacturing SMEs of a developing country in the light of the natural resource orchestration theory.

Knowledge workers (KWs) in information technology (IT) sector have become one of the key drivers for strategic competitiveness as they contribute toward an organization’s performance. In this context, the role of knowledge workers, who work on deputation to client side, is even more critical as they contribute directly to the revenue inflows. The purpose of this paper is to explore their role efficacy (RE) and organizational role stress dimensions, which have been affecting their performance and organization effectiveness. The study further explored the relationship between RE and role stress dimensions. Two distinct samples were identified, one where Indian KWs working in Indian company and Indian KWs working in foreign firm, where they have been discharging client facing technical roles.

A primary study has been conducted choosing questionnaire survey and telephonic interviews. A questionnaire was designed in such a manner so that the authors can extract the required information from the respondents about various dimensions of RE. This instrument was used to test the conceptual model of RE. Overall 50+ responses were obtained from IT companies in each of the two selected categories.

The results have shown that role expectation conflict and role isolation are the two major dimensions contributing to role stress for the selected sample, while centrality and integration have contributed to overall role efficacy for both the categories. Human resource interventions were suggested to enhance their RE and reduce their role stress.

This study made an attempt to investigate the relationship between RE and role stress dimensions of the KWs which has not been attempted in any previous published literature.

The purpose of this paper is to explore the impact of multidimensional perceived value and perceived pressure on physicians’ continuous intention to use (CIU) online health communities (OHCs) based on perceived value (PV) theory and conservation of resources (COR) theory.

This study developed a research model to test the proposed hypotheses, and the proposed model was tested using partial least squares structural equation modelling (PLS-SEM) for which data were collected from 481 physicians with OHC experience using an online survey.

The empirical results show the following: (1) Physicians’ CIU is influenced by perceived value and perceived pressure, with attitude towards OHCs using (ATU) playing a crucial role in the pathways. (2) Additional value, work pressure, peer pressure and social pressure have a positive impact on CIU, with consultation value, relationship value, work pressure and peer pressure positively influencing CIU through ATU as a mediator. (3) Reputation value has a positive effect on CIU moderated by seniority (online seniority and offline seniority).

This study emphasises the importance of different dimensions of perceived value and perceived pressure in CIU. Meanwhile, we broaden the research scope of PV theory and COR theory and provide inspiration to OHC managers and healthcare institution managers.