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This study investigated two key aspects: (1) how a hospital bundles limited resources for preventive care performance and (2) how to develop IS capabilities to enhance preventive care performance.

A case study method was adopted to examine how a hospital integrates its limited resources which leads to the need for resource bundles and an understanding of IS capabilities development to understand how they contribute to the delivery of preventive care in a Malaysian hospital.

This research proposes a comprehensive framework outlining resource-bundling and IS capabilities development to improve preventive care.

We acknowledge that the problem of transferring and generalizing results has been a common criticism of a single case study. However, our objective was to enhance the reader’s understanding by including compelling, detailed narratives demonstrating how our research results offer practical examples that can be generalized theoretically. The findings also apply to similar-sized public hospitals in Malaysia and other developing countries, facing challenges like resource constraints, HIS adoption levels, healthcare workforce shortages, cultural and linguistic diversity, bureaucratic hurdles, and specific patient demographics and health issues. Further, lessons from this context can be usefully applied to non-healthcare service sector domains.

This study provides a succinct strategy for enhancing preventive care in Malaysian public hospitals, focusing on system integration and alignment with hospital strategy, workforce diversity through recruitment and mentorship, and continuous training for health equity and inclusivity. This approach aims to improve resource efficiency, communication, cultural competence, and healthcare outcomes.

Efficiently using limited resources through HIS investment is essential to improve preventive care and reduce chronic diseases, which cause approximately nine million deaths annually in Southeast Asia, according to WHO. This issue has significantly impacted the socioeconomic development of developing countries.

This research refines resource orchestration theory with new mechanisms for resource mobilization, extends IS literature by identifying how strategic bundling forms specialized healthcare IS capabilities, enriches preventive care literature through actionable resource-bundling activities, and adds to HIS literature by advocating for an integrated, preventive care focus from the alignment of HIS design, people and institutional policies to address concerns raised by other research regarding the utilization of HIS in improving the quality of preventive care.

Recently, online learning and online environments have become even more important. Students' engagement, fear of missing out and Internet addiction are seen as interrelated components that affect students' online teaching and learning process. In this context, university students' engagement, fear of missing out and Internet addiction in online environments, the relationship among them and students' demographic characteristics, online environment usage status and Internet usage profiles as their predictors are examined in this study.

This is a relational study and is carried out with 179 university students. Personal information form, student's engagement, fear of missing out and Internet addiction scales were used as data collection tools. Descriptive statistics, t-test, one-way ANOVA, correlation, hierarchical linear multiple regression analysis are used for the analysis.

According to the results, variables related to students' demographic characteristics, online environment usage status and Internet usage profiles together significantly predict the students' engagement, fear of missing out and Internet addiction in online environments. When students think positively about taking courses online, their engagement increases accordingly and their fear of missing out levels decrease. Increase in student's academic achievement leads to decline in Internet addiction.

In practice, examining the related variables about students in terms of engagement to the learning environment, fear of missing out and Internet addiction could bring a new perspective to studies on problematic use of the Internet and technology such as nomophobia and digital distraction. The results of this study reveal how and which components to be focused on for increasing the university students' engagement, reducing Internet addiction and fear of missing out in online learning environments.

The findings of this study provide a versatile perspective with the variables of student participation, fear of missing out, Internet addiction and their predictors in online learning environments, which are becoming widespread and increasingly important today and shed light on future researches.

This study aims to examine the key antecedents influencing the private firm’s intention to adopt big data analytics (BDA) in developing economies. To do so, the study follows the sequential explanatory approach.

To test the hypothesized model that draws on the technology–organization–environment (TOE) framework paired with the diffusion of innovation (DOI) theory, a purposive sampling technique was applied to gather data from 156 IT and management domain experts from the private firms that intend to adopt BDA and operate in Pakistan’s service industry, including telecommunication, information technology, agriculture, and e-commerce. The data were analysed using the partial least squares structural equations modelling (PLS-SEM) technique and complemented with qualitative analysis of 10 semi-structured interviews in NVIVO 12 based on grounded theory.

The empirical findings revealed that the two constructs – perceived benefits and top management support – are the powerful drivers of a firm’s intention to adopt BDA in the private sector, whereas IT infrastructure, data quality, technological complexity and financial readiness, along with the moderators, BDA adoption of competitors and government policy and regulation, do not significantly influence the intention. In addition, the qualitative analysis validates and further complements the SEM findings.

Unlike the previous studies on technology adoption, this study proposed a unique research model with contextualized indicators to measure the constructs relevant to private firms, based on the TOE framework and DOI theory, to investigate the causal relationship between drivers and intention. Furthermore, the findings of PLS-SEM were complemented by qualitative analysis to validate the causation. The findings of this study have both theoretical and practical implications.

This study aims to investigate the different attributes of electronic commerce (e-commerce) that determine perceived value and electronic loyalty (e-loyalty) among consumers of online food delivery applications (OFDAs). In this globalized world and competitive environment, e-commerce demands have increased and organizations are giving special attention to web development, website design and functions to hold the current consumers with sustainable performance in the globalized and competitive environment. Almost every industry has been affected by the coronavirus disease 2019 (COVID-19) and changed the way of operational work in many industries. Similarly, the food industry is facing serious challenges and now restaurants started heavily depending on OFDAs.

The study was quantitative and data were collected from 509 consumers of the district of Rawalpindi, Punjab Pakistan by using a convenience sampling technique who was the users of OFDAs to evaluate the proposed research model. Confirmatory factor analysis was applied to evaluate the validity of the constructs, and structural equation modeling was employed to test the model through Smart-PLS.

Our findings revealed that perceived value has a substantial positive impact on electronic loyalty (e-loyalty). Moreover, results confirmed that perceived value mediates the relationship of electronic privacy (e-privacy), electronic security (e-security), electronic payment (e-payment), usability and electronic innovativeness (e-innovativeness) with e-loyalty.

This study added to the unified theory of acceptance and use of technology (UTAUT) and technology acceptance model (TAM) by exploring consumers’ intentions for using OFDAs in the framework of e-commerce attributes, perceived value and e-loyalty. Similarly, the study enabled the author to learn more about how people would use the information system after successfully applying the UTAUT.

This study has significant implications for web developers, application designers, food delivery companies, restaurants and other businesses. Subsequently, it indicates the importance of the incredible attractiveness of OFDAs in boosting users’ intentions to keep using the application.

This research contributes substantially to OFDAs efforts to continuously increase its meal service platform and improve client satisfaction which resulted in repurchase intent. In addition, the research facilitates OFDA firms to enhance the features of their applications according to clients.

The purpose of this paper is to examine the impact of greater reporting prominence of translation results following Accounting Standard Update (ASU) 2011-05 on net investment (NI) hedging practice. The authors investigate the role of increased transparency on the decision to engage in NI hedging (participation), the degree of NI hedging (level) and the hedging vehicle choice.

This paper uses the Heckman two-stage procedure (Heckman, 1979) in the hedging choice analysis. In the first stage, the authors model the participation decision as a function of reporting transparency, translation results and other control variables. In the second stage, the authors include the Inverse Mills ratio from the first stage Probit to examine both the level and vehicle choice decisions.

When translation is reported more prominently, the authors find an increase in the level of NI hedging and a greater likelihood of debt as the hedging vehicle, but no evidence firms are more likely to hedge. Regardless of where translation results are reported, firms facing ongoing translation losses are more likely to hedge.

This paper examines S&P 500 firms in the years surrounding the effective date of ASU 2011-05. The findings suggest managers respond to the increase in reporting transparency by increasing hedging for long-term risk management purposes, supporting accounting authorities’ efforts to promote other comprehensive income information transparency. The results should hold for comparable firms with similar currency exposure, size and visibility, but may not apply to smaller firms with limited translation exposure. As only about a quarter of firms with translation exposure engage in NI hedging, the primary results are based on a relatively limited number of firms.

To the best of the authors’ knowledge, this is the first study that examines NI hedging behavior changes following ASU-2011-05. Second, the authors are the first to explore why firms are almost equally split between derivatives and debt as their exclusive hedging vehicle.

This study aims to explore the role of eXtensible Business Reporting Language (XBRL) adoption in improving financial statements transparency in the Jordanian context.

The partial least squares structural equation modeling approach was used to analyze the obtained data.

The empirical outcomes indicated that the adoption of XBRL contributes to improving financial statements transparency in listed Jordanian firms in the Amman Stock Exchange, whereas information technology (IT) infrastructure was found to moderate the relationship between XBRL adoption and improving financial statements transparency and hence the related hypotheses were accepted.

This study encouraged the importance of shifting to the adoption of the XBRL which will contribute to improving transparency of financial data and information in listed Jordanian firms and then support the process of decision-making.

Mobile health (mHealth) technologies, in particular, have been sought after and advocated as a means of dealing with the pandemic situation. Despite the obvious advantages of mHealth, which include monitoring and exchanging health information via mobile applications, mHealth adoption has yet to take off exponentially. Expanding on the unified theory of acceptance and use of technology (UTAUT) model, this study aims to better comprehend consumers’ receptivity to mHealth even after the pandemic has subsided.

Through purposive sampling, data were collected from a sample of 345 mobile phone users and analysed using partial least squares structural equation modelling (PLS-SEM) and artificial neural networks (ANN) capture both linear and nonlinear relationships.

Effort expectancy, performance expectancy, social influence, pandemic fear and trustworthiness positively influenced mHealth adoption intention, with the model demonstrating high predictive power from both the PLSpredict and ANN assessments.

The importance–performance map analysis (IPMA) results showed that social influence had great importance for mHealth uptake, but demonstrated low performance.

Referrals are an alternative that policymakers and mHealth service providers should think about to increase uptake. Overall, this study provides theoretical and practical insights that contribute to the advancement of digital healthcare, aligning with the pursuit of Sustainable Development Goal 3 (SDG 3) (good health and well-being).

This study has clarified both linear and nonlinear relationships among the factors influencing intentions to adopt mHealth. The findings from both PLS and ANN were juxtaposed, demonstrating consistent findings.

The aim of this study is to provide a detailed picture of the digitalization propensity and human IT agility of Italian SMEs, verifying whether companies are pursuing coherent and reliable choices for these dimensions and whether digitalization choices affect human IT agility.

Using a POSET approach, this study constructs two nonaggregative multidimensional indicators of human information technology (IT) agility and firms' digitalization. The analysis is based on the microdata provided by ISTAT relating to 4,682 Italian manufacturing companies.

The results show the existence of a strong relationship between digitalization propensity and human IT agility. However, the analysis shows that companies are characterized by a low level of digitalization propensity and human IT agility. At the same time, the findings highlighted that the managerial choices adopted by companies appear to be inconsistent with respect to the two multidimensional indicators.

This study has important implications for managers and policymakers by suggesting acting specific policies to promote a better implementation of digitalization that considers the key role of human IT agility.

This study contributes to the existing literature on organizational agility and digitalization by providing a detailed picture of the Italian manufactured SMEs. At the same time, the POSET approach allows to aggregate a lot of information in one or more indicators without neglecting the value of each dimension faced with the extreme heterogeneity of companies' profiles.