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This research investigates the differential impact of information technology (IT) investments based on their features, such as investment in data management capability, security improvement, IT outsourcing or new IT infrastructure. The Long-Horizon Event Study (LHES) is essential for providing a more appropriate measure of the value of IT investments because firms' strategic decisions often set long-horizon and large-scale organizational goals, and there is inherent uncertainty regarding future cash flows resulting from these investments. Therefore, the authors aim to analyze how announcements of IT investments affect the firm's abnormal stock returns over the long term and to compare the differential impact of different features of IT investment.

The authors gathered IT investment announcements and stock data of listed firms in Korea between 2000 and 2018, and the monthly stock market returns over the 5 years after the announcements. To measure the differential impact of IT investments based on the investment features, the authors separate announcements data into five groups. A LHES is used to estimate the long-term effects of IT investment announcements.

The results indicate that announcements of IT investments had a long-term positive effect on firm performance. Additionally, the findings reveal differential effects of IT investments across industries and investment features. Notably, news of self-developed IT investments and IT investments in the manufacturing industry had significantly positive effects. However, contrary to common belief, announcements of investments in so-called essential IT areas such as data, security, or new IT infrastructure did not yield significant effects.

Although the need for LHES has been emphasized in information systems research, few follow-up studies have been conducted since Barua and Mani (2018). This is primarily due to the challenges associated with collecting large-scale abnormal stock returns data over a long horizon. This research represents the first LHES to investigate the differential impact of IT investments based on their features. By doing so, this study can provide valuable insights for decision-makers within firms, helping them understand the time horizon of market outcomes of IT investments based on their features. Furthermore, this work extends the scope of LHES to comprehend the differential impacts of investment features. For instance, managers need to grasp that so-called essential IT investments, such as data management, security enhancements or new IT infrastructure, may not necessarily generate long-term market value.

This chapter delves into the crucial intersection of Destination Social Responsibility (DSR) and sustainable development within the context of coastal marine tourism destinations. The research objective is to offer a comprehensive analysis of how DSR practices influence the trajectory of sustainable development in these unique environments. Employing a qualitative interview with key stakeholders, content analysis of policy documents and quantitative surveys of tourists, this study endeavours to attain a holistic knowledge of the intricate dynamics at play. By triangulating these methods, we aim to establish a robust foundation for comprehending the multifaceted relationship between DSR initiatives and sustainable development outcomes. The findings reveal a nuanced interplay between DSR and sustainable development indicators. Notably, the integration of socially responsible practices positively correlates with enhanced environmental conservation efforts, increased community engagement and heightened visitor satisfaction levels. This research advances our comprehension of the interdependency between DSR and sustainable development. Hence, it is important to acknowledge its limitations. The practical implications of this study are manifold. Policymakers, destination managers, as well as industry stakeholders stand to benefit from a nuanced understanding of how DSR practices can be leveraged to drive sustainable development. This chapter is responsible for the current literature by offering an extensive analysis of the interplay between DSR as well as sustainable development in coastal marine tourism destinations. By synthesising empirical findings and theoretical frameworks, this research provides a valuable resource for scholars, policymakers and industry practitioners seeking to navigate the complex landscape of responsible tourism development.

In this article, the authors try to determine why and under what conditions consumers intend to buy green and what the consequences are. Relying on theories of reasoned action and theory of planned behaviour (TPB), the authors offer that the green purchase intention (GPI) is impressed by environmental and personality components. Provide statements about the determinants and key implications of such market identification.

This study aims to represent the initial impact analysis of a human resource development (HRD) intervention – the Center for Human and Organizational Potential (cHOP) – for faculty and staff at an academic medical center in the Midwestern US. cHOP seeks to unleash faculty and staff potential and advance organizational outcomes by fulfilling employees’ basic psychological needs, posited by self-determination theory (SDT, Ryan and Deci, 2000): competence, autonomy and relatedness.

Using Cianciolo and Regehr’s (2019) layered analysis framework as a guide, the authors conducted a program evaluation to analyze, in-depth, the nature and impact of two representative cHOP programs: Accelerate and BOOST. Specifically, the authors examined whether the implementation of these programs was consistent with SDT, as reflected in participants’ reported program experiences (i.e. “Did the intervention, in fact, occur as intended?”). The authors also examined program outcomes and opportunities for improvement based on program participants’ voices (i.e. did the intervention, implemented as intended, work?). Because SDT is a theory of individual motivation, the authors identified a need to evaluate outcomes at the individual level and beyond, broadly exploring what would happened if program participants’ basic psychological needs had been addressed. The aim was to determine the potential downstream consequences of intrinsically motivated faculty and staff, while promoting divergent thinking on program impact and sustainability.

Participants reported experiences suggest that Accelerate and BOOST addressed all three psychological needs and strengthened their intrinsic motivation to advance their leadership and career development and improve the performance of their teams and departments. These outcomes suggest the potential for impact at the individual level and beyond, such as the institution and external, professional societies.

The study assessed two representative programs among cHOP’s many offerings. A comprehensive study of cHOP’s impact, directly linking psychological need fulfillment and organizational impact, is beyond the scope of a single study and requires further research.

The authors suggest expanding scholarly discussions in the HRD and health professions education (HPE) literature to characterize the promise of HRD-HPE partnerships and to account for their impact more fully.

The study contributes to both HRD and HPE scholarship by providing a layered account of academic medical center (AMC) faculty and staff development using an HRD approach; and examining the impact of a theory- and evidence-based novel HRD intervention (i.e. cHOP) at the individual level and beyond in an AMC context.

Virtual clothing presentation has a visual 3D effort and allows consumers to interact. Currently, most scholars make virtual clothing presentations as a whole or focus on one element to study its impact on consumers’ purchase intentions. This study disassembles the components of virtual clothing presentation in Taobao and explores how each component (virtual clothing, virtual model, presentation space, presentation technology and system quality) affects consumers’ purchase intention, which can provide clothing companies recommendations for developing it and help improve consumers’ online shopping experience.

This study created the parts of a virtual clothing presentation and took advantage of Taobao’s 3D interactive module to simulate a shopping scenario. Participants experienced a 3D interactive virtual clothing presentation in which they could change clothing colors, show actual clothing sizes, try different model poses, switch presentation backgrounds and unfold clothing structure through interactive buttons. Then they were randomly assigned to view two kinds of images and videos of experiment clothing (real images and videos vs virtual ones), respectively. Hypotheses were tested using SEM and applying SmartPLS 4.

The results demonstrated that five components of virtual clothing presentation have different degrees of influence on consumers’ purchase intention through different consumer perceptions (perceived usefulness, ease of use and enjoyment). It is necessary to consider the design of the virtual clothing presentation in those five dimensions for different needs. In addition, it is feasible to replace images and animated videos of real clothing with virtual ones in Taobao.

Different types of virtual clothing presentations can lead to various results in terms of diverse impacts. This study disassembles and researches each component of a virtual clothing presentation. Overall, this study could provide guidance and suggestions for clothing companies to develop and design or invest in virtual clothing presentations.

This study uses data from the National Financial Capability Study to examine the financial vulnerability of Asian American and Pacific Islander (AAPI) adults relative to that of other major racial/ethnic groups in the United States across the past decade and within the AAPI population, examining how vulnerability varied across AAPI adults of East Asian, South Asian, Southeast Asian, and Pacific Islander heritage.

The study uses four waves (2012, 2015, 2018 and 2021) of the State-by-State National Financial Capability Study (NFCS) and the 2021 NFCS AAPI Oversample dataset. Financial vulnerability was estimated using five binary indicators: (1) An inability to come up with $2,000, (2) An experience of overdraw, (3) A lack of emergency fund savings, (4) Difficulty paying bills and expenses, and (5) Credit card revolving. A financial vulnerability index was also created using the binary indicators. Logistic regression analyses were conducted on binary indicators and an OLS regression was additionally conducted on the aggregated financial vulnerability index.

Results show that, overall, AAPI respondents reported the lowest levels of financial vulnerability relative to White respondents, Black respondents, Hispanic respondents, and those of another race or ethnicity. However, using the 2021 datasets, we found that within the AAPI population, financial vulnerability varied widely by heritage, with those of East Asian heritage reporting less vulnerability than AAPI adults of other studied heritage groups.

These results provide insights into the financial well-being of AAPI households, particularly amidst the COVID-19 pandemic, and present initial evidence of the significant disparities that exist within this heterogenous community. This study provides valuable insights for researchers, educators, policymakers, and financial practitioners.

This study aims to examine the relationship between information and communication technology (ICT) and economic growth in all organization for economic co-operation and development (OECD) countries.

This paper employs annual panel data together with fixed-effects (FE), random effects (RE), fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS) and generalized method of moments (GMM) estimators for production function estimation.

The results indicate that ICTs, non-ICT (NICT) capital services and employment significantly and positively affect economic growth.

Information is an important driving force behind economic growth and productivity, and communication technologies have made it more accessable. Also, many countries aimed to invest in ICT to improve their economic growth and productivity. However, these investments failed to produce the expected outcome for some years and countries.

To our knowledge, no study examines the ICT and growth relation in all OECD countries for 2000–2018 period. We intend to fill this gap by examining whether or not the expected returns from ICT investment are achieved in all OECD countries between 2000 and 2018.

The construction industry has been investigating “where Henry Ford is in the industry system.” Given that listed construction enterprises are the backbone of the promotion of the high-quality development of the industry, their research and innovation are of considerable importance. This study aims to comprehensively assess the research and development (R&D) status quo and trends within various types of construction enterprises in order to identify effective strategies to enhance R&D efficiency in the construction industry.

Based on the data won from annual reports and the CSMAR database for the period 2016–2020, this study examines 104 listed construction enterprises in China. By applying both the data envelopment analysis (DEA) method and the Malmquist productivity index, this research compares and analyzes the static and dynamic differences in R&D efficiency across different types of construction enterprises.

Results suggest that the magnitude of change in the Malmquist decomposition index of 104 listed construction enterprises gradually narrowed, but the comprehensive technological level remained relatively low. Although state-owned enterprises had an advantage in scale efficiency, meaning they could maximize output with given inputs, their technological progress efficiency, also known as the degree of technological innovation, was significantly lower than that of private enterprises. As one finding, state-owned enterprises in comparison with private enterprises experience significant R&D inefficiency. It represents the main cause of their low degree of technological innovation and efficiency.

This study assesses the R&D efficiency of listed construction enterprises in China from the perspective of different market segments, state-owned and private enterprises and suggests approaches to improve strategies for various corporate types. Thus, the study’s new findings contribute to addressing the challenge of low R&D levels in the construction industry in the fields of engineering, construction and architectural management.

With the competitive nature of golf club operations, understanding the loyalty formation process is crucial for maintaining a competitive edge. This study investigated the sequential developmental stages of consumer loyalty, progressing through cognitive, affective, and conative stages.

The study conducted a survey targeting consumers who have experienced golf club services in the United States. This study operationalized reliability and trust as key indicators of the cognitive stage, hedonic motivation and social engagement as indicators of the affective stage, and loyalty as the indicator of the conative stage.

Using structural equation modeling (SEM), this study found that reliability has a significantly positive influence on trust. Trust has a significantly positive influence on hedonic motivation and loyalty. Furthermore, hedonic motivation has a significantly positive influence on social engagement and loyalty.

By integrating these findings within the Cognitive-Affective-Conative (CAC) framework, this study contributes to both the theoretical literature on consumer loyalty and provides practical insights for golf club management.

This study aims to provide an in-depth analysis of entropy generation (EG) during natural convection within the annular space between confocal elliptic cylinders, with a specific focus on the influence of Brownian motion on nanofluid behavior.

A finite volume control method was used to conduct a detailed numerical analysis, examining the behavior of various nanofluids across a range of volume concentrations (2%–6%) and Rayleigh numbers. The study explores heat transfer (HT) and fluid flow mechanisms, particularly highlighting the role of nanoparticle Brownian motion in enhancing thermal conductivity.

The findings reveal that increased Rayleigh numbers significantly improve HT rates, while at lower Rayleigh values, EG is primarily governed by thermodynamic irreversibility. At higher Rayleigh numbers, this irreversibility plays a less dominant role in overall entropy production.

This study offers a novel perspective on the interplay between Rayleigh numbers, Brownian motion and EG, providing valuable insights for optimizing HT processes in engineering applications involving nanofluids.