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The paper aims to measure the nature and extent of international diversification followed by Indian companies over the period 2009–10 to 2017–18. The study also aims to assess the pattern of transition of companies to various strategies of international diversification.

Jacquemin and Berry’s (1979) entropy approach has been applied to measure the extent and assess the nature of international diversification. Further, the study deploys two-dimensional categorical framework advocated by Vachani (1991) and categorizes the firms into four international diversification strategies.

Larger proportion of companies in internationally low diversification (ILD) strategy reveals low extent of international diversification of Indian companies. The pattern of diversification depicts that the trend of moving forward is speeding up sequentially toward higher strategies of growth. Both the extent and pattern depict that the nature of diversification is shifting from relatedness to un-relatedness with transitions from intra-regions to inter-regions. The study confirms the applicability of eclectic theory and psychic distance Uppsala model in determining the preference of international diversification strategies and process of internationalization respectively in Indian firms.

The paper is first of its kind on account of several reasons. First, such a comprehensive evaluation of preferences for international diversification strategies has never been taken up with reference to emerging economies, especially India. Second, the paper is not static and does not limit itself only to the identification of favored strategies of Indian companies but also gauges the transitional behavior of Indian companies across different strategies at different points of time. In fact it is the first study to statistically research the applicability of psychic distance model in firms in emerging economy. Third, the results not only measure the quantum of international diversification but also assess the extent of relatedness and un-relatedness followed by Indian companies.

A region’s transforming care partnership identified that autistic adults without an intellectual disability (ID) may be falling through gaps in services when presenting with a significant emotional and/or behavioural need in the absence of a mental health diagnosis. The region’s intensive support teams (ISTs) for adults with ID therefore piloted a short-term “behavioural support service” for this population. The purpose of this paper is to evaluate this pilot.

This study represents a mixed-methods service evaluation over a four year pilot period. The quantitative component examined referral rates and demographic data of accepted and declined referrals; and length of referral episodes and Health of The Nation Outcomes Scores (HoNOS) for accepted referrals. The qualitative component used thematic analysis to identify key themes relating to reasons for referral, clinical/therapeutic needs, and the models of support that most informed assessments and interventions at individual and systems levels.

The ISTs accepted 30 referrals and declined 53. Most accepted referrals were male (83%), and under 24 years old (57%). Average HoNOS scores were above the thresholds generally associated with hospital admission. Key qualitative themes were: transitional support; sexual risks/vulnerabilities; physical aggression; domestic violence; and attachment, trauma and personality difficulties. Support mostly followed psychotherapeutic modalities couched in trauma, attachment and second- and third-wave cognitive behavioural therapies. Positive Behaviour Support (PBS) did not emerge as a model of preference for service users or professionals.

This project represents one of the first of this type for autistic adults without an ID in the UK. It provides recommendations for future service development and research, with implications for Transforming Care policy and guidance.

The COVID-19 pandemic exacerbated food insecurity and insufficiency in the United States. However, the causes of food insufficiency among people with disabilities during the pandemic are not well understood. This paper examined how loneliness and household structure are associated with food insufficiency among working-age adults (ages 18–64) with disabilities during the COVID-19 pandemic. Using 2021 National Survey on Health and Disability data, we conducted logistic regression to estimate the association between loneliness, household composition, and food insufficiency. Measures of household structure, such as the number of children in the household and living with other adults, were not associated with food insufficiency during the COVID-19 pandemic. Secondary analyses found that loneliness had a strong association with food insufficiency for those who live alone. Respondents who lived alone and reported feeling lonely had the highest odds of being food insufficient during the pandemic. Our findings indicate that in addition to household structure, it is important to assess psychosocial well-being, such as measures of loneliness, when examining food insufficiency among working-age adults with disabilities.

The main purpose of this study is to determine the accounting analytics technology (AAT) adoption among manufacturing small and medium-sized enterprises (SMEs) based on the extended technology acceptance model (TAM).

The quantitative research approach with online surveys was used to collect data from 219 accounting managers among manufacturing SMEs in Jordan. To test the suggested research model, partial least squares structural equation modeling was used.

The findings indicated that all direct paths were found to be significant in the hypothesized directions. Ultimately, the results also revealed that perceived usefulness has mediated the relationship between perceived ease of use and intention to use AAT, and hence all direct and indirect hypotheses were accepted.

This research has successfully extended the TAM model in the context of AAT adoption among Jordanian manufacturing SMEs by including new factors along with the original factors of the TAM model, particularly in the postpandemic era.

This study aims to explore the factors that affect higher education students’ behavioral intention and use of social media for educational purposes in the COVID-19 era, where the UTAUT2 model was adopted.

Convenience sampling was used to collect the required sample size and 301 completed questionnaires were analyzed. The collected data was analyzed using SPSS and SmartPLS4.

The analysis highlights in this study that eight hypotheses were supported, whereas six were not. The evidence from this study suggests that students in Oman have the needed resources that facilitate their adoption and use of social media for learning. Also, they have a more robust tendency level for the intention to use it in the future. With these in hand, higher education institutions must enforce the use of social media in education to take advantage of its availability where students can access valuable learning content at no cost.

This study offers empirical evidence on critical success factors underlying using online learning systems that can help system developers, higher education institutions and policymakers develop better strategies and systems that can support students' online learning and education.

Investigating antecedents that may affect the usage of electronic tax declaration platforms is not a new research topic. Nevertheless, investigating the antecedents that affect the continuance usage of these platforms beyond the COVID-19 pandemic is a relatively new research trend. Accordingly, the purpose of this study is to investigate the antecedent factors that directly influence electronic tax declaration platforms’ continuance usage in the post-pandemic era by integrating the Unified Theory of Acceptance and Use Technology Model with other related factors.

To achieve the main purpose of the study, an online questionnaire was used to gather data from 231 Jordanian taxpayers.

The findings revealed the positive and significant effects of performance expectancy, social influence, knowledge and trust in e-government services on continuance usage of electronic tax declaration platforms. Contrary to what is expected, effort expectancy is insignificant, and hence the related hypothesis (H2) was rejected.

The findings of current research provided theoretical and practical implications by using a well-established theoretical lens to investigate what factors affect the continuance usage of electronic tax declaration platforms within the context of a developing country, namely, Jordan.

The main purpose of the current study was to develop a new research model in the hope of providing a further understanding of Digital Taxation Information Systems (DTIS) usage and its impact on tax compliance by investigating the mediating role of trust in e-government services (TIE) and the moderating role of awareness (AW) toward these systems.

A quantitative research method approach with Partial Least Squares-Structural Equation Modelling (PLS-SEM) was employed to analyze the data collected.

The results indicated that DTIS usage is influenced by perceived usefulness (PU), perceived ease of use (PEU), attitude (ATT), knowledge (KN), subjective norm (SN), AW and TIE. Contrary to what is expected, AW does not moderate the association between SN and DTIS usage. Eventually, the results also revealed that TIE has mediated the association between trust in government (TIG) and DTIS usage.

This study provides thought-provoking empirical pieces of evidence about understanding the situation of DTIS usage and its impact on tax compliance among academic professors in Jordan. Furthermore, the study outcomes and discussion presented will help the Jordanian government improve and comprehensively formulate strategies to increase the tax compliance procedure.

This study aims to present a qualitative analysis of how higher education institutions (HEIs) faculties manage knowledge to facilitate the learning and engagement of individuals with intellectual and developmental disabilities.

This study uses a qualitative research design to collect responses from 39 HEI faculties to understand how they manage knowledge to facilitate learning in individuals with intellectual and developmental disabilities. Data collection tools comprised a set of predetermined questions, soliciting written responses.

Coding of the collected data confirmed that there was a knowledge management process in HEIs for enabling higher education of individuals with intellectual and developmental disabilities. A total of six themes emerged, clarifying the knowledge management process. The four components of this process were creation, storage, sharing and use. In addition to the four process-related themes, two other themes that emerged were barriers to knowledge creation and supportive culture. This covers the relevant aspects of the set-up around the knowledge management process in HEIs trying to improve the higher education of individuals with intellectual and developmental disabilities.

There is a need to improve the education of individuals with intellectual and developmental disabilities, which requires effective knowledge management. This paper reveals details of the steps in the knowledge management process relevant to this aim. This is a unique contribution, providing a basis for future research and the introduction of required knowledge management practices by HEIs dedicated to providing high-quality education to students with intellectual and developmental disabilities.

Digital technology, which is regarded as a prominent and transformational force in modern society, encompasses a wide variety of technology that utilize digital data to process, store and transfer various types of information. Digital technologies have continually been introduced as cutting-edge information tools in order to achieve effective management of vast information that arises from the prefabrication supply chain. However, without a sufficient performance evaluation, drawbacks of technology investment, such as financial losses and ineffective resource allocation, keep occurring, which hinders the widespread implementation of digital technologies. This study demonstrates a comprehensive evaluation of digital technologies’ effects on the prefabrication supply chain based on multi-criteria decision analysis (MCDA) theory.

Specifically, the targeted digital technologies and project constraints were first identified through a systematic literature review. The effects of the digital technologies were then scored using a questionnaire survey. The TOPSIS model was established to quantitatively rank the effectiveness of selected digital technologies.

Overall, BIM technology shone out in the rankings and is regarded as the most beneficial digital solution by multi-stakeholders to the existing constraints, such as working efficiency. Collaboration patterns between different stakeholders and technology integration trend were also indicated.

Compared with existing outcomes, this study specifically focused on examining the effects of digital technologies on the prefabrication supply chain, the most significant link in the process for prefabricated structures. New findings indicate the overall performance that considered both multi-stakeholders’ preferences and project constraints. The quantitative evaluation presents a comprehensive understanding of digital technologies’ effects, enabling industrial participants to reach well-informed, strategic and profitable investment decisions.

This study aims to develop a comprehensive framework for discussing sustainability within the insurance industry, extending the traditional Environmental, Social, and Governance (ESG) dimensions to include economic and technological considerations. This inclusion is vital, recognizing that financial stability and the adoption of innovative technologies are fundamental to meeting other sustainability targets.

We base our findings on an extensive literature review, case studies, and interactive workshops with key stakeholders in the insurance industry. Our analytical framework employs Porter's (1985) insurance-specific value chain, complemented by Berliner's (1982) insurability criteria, to distinguish between insurable and non-insurable risks.

Our results show that the insurance industry is sustainable because it actively incorporates and contributes to sustainability goals across environmental, social, economic, and technological dimensions. This is illustrated through the identification of 50 distinct contributions across the insurance value chain, showcasing the sector’s unique position to significantly influence the sustainability discourse.

Addressing the pressing challenges of sustainability and insurability necessitates a strategic, collective response from the global insurance and risk management community. This paper proposes several policy recommendations, including enhancing risk assessment methodologies, diversifying insurance product offerings, encouraging cross-sectoral collaboration, and prioritizing investments in resilience and preventive measures.

By broadening the sustainability discussion to encompass economic and technological facets, this paper enriches the dialogue surrounding the insurance industry’s role in sustainability. It aims to inform decision-makers across the industry, political spheres, and broader society about the necessity of sustainability, fostering pertinent political discussions and highlighting avenues for future research.