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This study aims to examine the factors that influence the adoption of social media to meet the service needs of persons with disabilities.

This study outlines the social media adoption model in disability services by using theories of persons with disabilities’ resistance, extreme-ableist expressions and exploit-ecological theories. A questionnaire survey is conducted among citizens who participate in disability-related activities.

The adoption of social media is influenced by disability norms, administrative and platform support. Emerging trends, such as disability politics and inclusion, are inconsequential.

Results implicate that frequent sharing of disability rights perspectives and awareness initiatives can enhance social media platforms for disability services.

In regional disability services, the scope of social media is hampered by a lack of reporting capabilities and a paucity of digital content sensitive to disability.

The disability interest group reported less specialised services enabled by social media from developing nations. The current study addresses this research gap.

This paper discusses the need for government and healthcare organization to implement mobile phone-based solutions for healthcare during the Coronavirus (Covid-19) pandemic. It also highlights the challenges and/or barriers to the rapid introduction, implementation and management of these and other innovative solutions to health service delivery during the current situation

The data include both qualitative and quantitative, collected from the primary interview-based case study and questionnaire survey. It also uses insights from the general populations, healthcare professionals and health information technology developers to understand the role of a mobile health intervention in the COVID-19 pandemic outbreak.

Healthcare professionals and health information technology developers are confident that the use of mobile health technology and applications has the ability to assist in monitoring and controlling the COVID-19 outbreak. The key advantages of using mobile phone technology are: increased awareness, improved assistance in tracking and testing casualties, improved assistance in seeking and scheduling health information and medical appointments, increased social distancing, improved overall productivity and quality of life. However, data demonstrated that lack of awareness and accessibility or unwillingness to use the technology, complex healthcare needs, application infrastructure, policies and a dearth of training and support are all barriers to successful implementation of this useful tool.

This research has the potential to make a significant impact on government and healthcare policy through presenting a coherent argument for the importance of designing and deploying mobile health technology and applications for the general population.

prior literature in this domain is inadequate in explaining the importance of mobile phone-based healthcare solutions for health service and during serious disease outbreaks and, in particular, within the Indian context. The findings of this study can be used by government and healthcare organizations to improve health governance during the current global pandemic.

This study aims to examine the determinants of mobile health technology and applications use intention. The factors are delineated from prior literature and theories of individual traits and adoption characteristics, technology acceptance and health belief.

Data from 409 respondents were collected from Indian participants through a questionnaire survey. The construct “use intention” was measured using individual traits to mobile services, subjective norm, health consciousness, awareness and perceived usefulness, and the model was tested.

The study found that mobile health technology and the applications awareness and personal innovativeness influence intention to use.

Previous studies have often looked at technology adoption and acceptance models separately and are less adequately discussed in the Indian context. The components that determine mobile health technology and the applications’ acceptance by literature and theories of individual traits and adoption characteristics, technology acceptance and health beliefs were also inadequately discussed. The significant contribution of this research also includes policy recommendations for improving mobile health acceptance in India.

Despite the enormous potential of mobile health (mHealth), identifying the asymmetric relationship among the predictors towards intention to use (ITU) of mHealth tends to remain unresolved. This study aims to investigate the predictors and their asymmetric effects on ITU of mHealth through patients and healthcare professionals.

An integrated information systems (IS) model with four additional constructs has been developed to analyze symmetric and asymmetric effects on ITU of mHealth. An exploratory survey on 452 mHealth users with prior experience was conducted to evaluate the model using a mixed-method approach including partial least squares-based structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) technique.

The findings show that facilitating conditions, personal awareness building, perceived enjoyment, effort expectancy and perceived usefulness have predictive power for ITU of mHealth. In contrast, fsQCA reveals four more alternative solutions, including the main drivers explored by PLS-SEM. The results indicate that various conditions that were not crucial in PLS-SEM analysis are shown to be sufficient conditions in fsQCA.

This study contributes to theory by integrating self-actualization factors (i.e. personal awareness building, patients as decision support unit) into the IS model. And practically, this study makes an essential contribution to users' ITU of mHealth, enabling relevant stakeholders to build strategies to implement mHealth successfully.

While mHealth has revolutionized healthcare and the prior literature only showed linear relationships, this empirical study revealed asymmetrical relationships among the determinants of ITU of mHealth. Thus, this study extends to the growing body of literature on the use of mHealth technology in the least developing nation.

This study aimed to explore the impact of Artificial Intelligence (AI) characteristics, namely Perceived Animacy (PAN), perceived intelligence (PIN), and perceived anthropomorphism (PAI), on user satisfaction (ESA) and continuous intentions (CIN) by integrating Expectation Confirmation Theory (ECT), with a particular focus on Generation Y and Z.

Using a quantitative method, the study collected 495 data from Gen Y (204) and Z (291) respondents who were users of digital banking apps through structured questionnaires that were analysed using PLS-SEM. The latter helped investigate the driving forces of AI characteristics and user behavioural intentions as well as reveal generation-specific features of digital banking engagement.

The study revealed that PAN and PIN have significant positive effects on the anthropomorphic perceptions of digital banking apps, which in turn increases perceived usefulness, satisfaction, and continuous intentions. In particular, the influence of these AI attributes varies across generations; Gen Y’s loyalty is mostly based on the benefits derived from AI features, whereas Gen Z places a greater value on the anthropomorphic factor of AI. This marked a generational shift in the demand for digital banking services.

The specificity of Indian Gen Y and Z users defines the scope of this study, suggesting that demographic and geographical boundaries can be broadened in future AI-related banking research.

The results have important implications for bank executive officers and policymakers in developing AI-supported digital banking interfaces that appeal to the unique tastes of millennial customers, thus emphasising the importance of personalising AI functionalities to enhance user participation and loyalty.

This study enriches the digital banking literature by combining AI attributes with ECT, offering a granular understanding of AI’s role in modulating young consumers' satisfaction and continuance intentions. It underscores the strategic imperative of AI in cultivating compelling and loyalty-inducing digital banking environments tailored to the evolving expectations of Generations Y and Z.

The purpose of this study is to understand the different types of risks affecting the demand for the automotive sector in India. The study is further trying to illustrate an approach for analyzing the relative intensities of these risks in the present uncertain business environment.

Risk on the overall demand is assessed by a combined Bayesian – multi-criteria decision-making approach. Data related to the different factors, affecting their product demand is collected from major automobile firms. Then, weights for these factors are evaluated by applying the analytic hierarchy process approach. Further, these weights are used in the Bayesian analysis network to evaluate the risk intensity for different subgroups, namely, political, economic, social, technological and environmental.

From the literature and experts’ opinion, total 16 risk factors have been finalized and these are further grouped into 5 categories i.e. political, economic, social, technological and environmental. It is observed that the demand for organizations functioning in the automotive sector is more vulnerable to economic risk as compared to other risks considered in the study.

Managers and decision makers of associated organizations can use the proposed framework to assess the demand risks so as to pre-evaluate their demand corresponding to future changes. Factors can be added or removed and importance could be assigned to different risk factors according to the prevailing business environment for an organization or sector. This will also help the organizations to conduct a more effective risk management in an uncertain business environment.

The study will help in better understanding of the various demand risks prevalent in the Indian auto sector. The methodology used, provides a novel approach for assessing the macroeconomic demand risks and can be used by the firms working in the automotive sector. The proposed methodology could be used for assessing supply chain risk or any other business initiative risk. The suggested approach will help managers in devising flexible management techniques so as to mitigate the risk.

Financial Accounting and Corporate Finance.

Undergraduate, Post Graduate and Executive Education.

T.A. Pai Management Institute (TAPMI), a leading B School in South India had established its new campus in Badagabettu village, about 5 km away from Manipal, Udupi District, Karnataka. Though the campus housed about a thousand inmates, comprising students, staff and faculty members, a proper public transport system did not develop commensurate with other facilities. The TAPMI administration was flooded with requests from various stakeholders to find a solution to this vexed problem. The Dean Administration had three options before him namely convincing the existing private bus operator to run a new bus en route TAPMI, TAPMI purchases the bus by either paying cash or availing loan from a bank or TAPMI can take a bus on lease. The predicament before Dean was to find out the most economically viable solution.

At the end of this case discussion, the participants will be able to: understand the application of breakeven analysis; prepare income statement, balance sheet, cash flow statement and forecast of cash flows; evaluate financing and investing decisions by using various techniques; discuss and debate the different alternatives available to the organization.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 1: Accounting and Finance.

Lean practices are one of the fundamental practices adopted by health-care organizations to improve service quality and to reduce cost. In this context, the measurement of leanness in health-care organizations has become imperative. The purpose of this study is to measure the leanness of a hospital using fuzzy logic.

The design of the research includes two major steps. First, the identification of enablers, criteria and attributes of leanness constitutes the measures of assessment. Second, the above measures in the case hospital are assessed by using fuzzy logic approach.

This study suggests that leanness assessment is essential to identify the current lean capability of a health-care organization. This would help the health-care organizations to improve their lean performance further. The findings of the study suggest that the leanness of the case hospital is “Lean” (fuzzy range: 5.61, 7.24 and 8.91).

This study brings in three important implications from managerial point of view. First, it helps the management to assess the current level of leanness of the hospital. Second, it identifies the attributes that prevent the organization from being more lean. Third, it provides suggestive measures to address the weaker attributes and enables the enhancement of lean performance further.

The leanness assessment framework developed in the hospital operations is found to be original, and it adds value to the leanness assessment in health-care operations.

Purpose: The purpose of this study is to identify the elements that can enhance financial inclusion (FI) in a nation, which in turn promotes economic development and growth.

Need for the Study: FI is crucial in providing people with the skills and resources to manage their money effectively and make informed financial decisions. Accessible, reliable and secure financial services play a significant role in achieving sustainable development goals (SDGs) and fostering economic progress.

Methodology: Data from 571 respondents were collected for analysis. The study utilises Statistical Package for Social Sciences SPSS and Analysis of Moment Structures AMOS software to analyse data and achieve the study’s objectives. The researchers employ these tools to obtain substantial results.

Findings: The findings indicate that FI contributes to economic growth (84%) and helps in accomplishing SDGs. Access, usage, affordability, technology, availability and technology adoption all play a vital role in increasing FI in the nation.

Practical Implications: The study’s outcomes have practical implications for policymakers and stakeholders, emphasising the importance of promoting FI through various measures such as enhancing access, affordability and technological advancements in financial services.