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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.

War is one of the worst characteristics of human nature. Wars over territory, religion, and governance were and are always present through history. War and tourism seem dissonant at first glance. However, the post effects of war enable its components, such as battlefields and artefacts, to become tourist attractions. People share the impetus to visit war attractions such as battlefields, military museums, cemeteries, memorials, and other war-related sites. There is a supply for this type of tourism in exchange for the demand. This type of tourism is referred to in the literature as battlefield tourism. The meaning and definition of battlefield tourism are the main aim of this chapter. What is battlefield tourism? What are the components of battlefield tourism? How can battlefield tourism be defined? These are the primary questions this study tries to address.

This chapter differentiates stress from generalized anxiety, discussing the nature and prevalence of each among college students. The chapter then delves into generalized anxiety in detail, covering instruments that measure generalized anxiety, cultural considerations associated with generalized anxiety and the causes, consequences, prevention and treatment of generalized anxiety among college students. The next section of the chapter focuses on social anxiety among college students, similarly addressing its defining characteristics, prevalence, cultural considerations, causes, consequences, prevention and treatment. The final section of the chapter follows a similar structure in discussing posttraumatic stress disorder (PTSD) among college students. Throughout the chapter, attention is devoted to neurotransmitters and brain structures that are involved in anxiety and its treatment through antianxiety medications. Case examples are used to help bring theoretical concepts and research findings to life.

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 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.

This study aims to use the extended model of goal-directed behavior (EMGB) to examine the interaction between wine purchasing motivations and prior knowledge and their impact on consumers’ wine purchase intentions and decisions.

The survey was conducted in large discount retail stores in South Korea, and structural equation modeling analysis reveals EMGB’s strong predictive ability to understand wine buying behavior.

Notably, the findings reveal that social life and enjoyment motivations play a significant role in shaping consumers' attitudes. In addition, positive emotions, attitudes, prior knowledge, subjective norms and negative anticipated emotions all have a positive effect on desire, while desire, prior knowledge and frequency of past behavior have a significant impact on behavioral intention. Contrary to previous studies, celebration motivation has no significant effect on attitude and perceived behavioral control has no significant effect on desire and behavioral intention.

The findings provide practical insights for marketers to conduct targeted wine marketing campaigns and increase consumers' intention to purchase wine.

This study furthers the understanding of the complex mechanisms involved in shaping the intention to purchase wine using the EMGB framework.

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.

To propound a broadened perspective on emotional labor management by exploring mitigatory approaches that could be pre-emptively deployed prior to actual episodic experiences of emotional dissonance and their associated negative consequences (e.g. burnout). At present, the management of emotional labor appears to skew toward reactive measures, such as deploying employee assistance programs (EAPs) to assist overwhelmed employees in coping better with their emotional demands, reducing job-related emotional demands or a combination of both.

Intricate processes of emotion emergence and established literature on emotion regulation are considered. By conceptualizing emotion emergence as a process entailing situation, attention, appraisal and response, current efforts can be seen as primarily acting upon the late stages of this process. General emotion regulation strategies that act upon more upstream processes are then considered and applied to the specific context of emotional labor.

Pre-emptive steps could be taken from the early stages of job selection as well as personnel selection and assessment through systematic and concerted efforts in identifying job-related emotional demands (e.g. specific display rules, frequency and intensity). Formal job descriptions could then reflect these demands to better facilitate self-selection processes. Additionally, considering these identified parameters as personnel selection and assessment criteria could further enhance person-job fit in terms of emotional congruency. For current hires, pre-emptive steps could also be taken to subliminally modulate their emotional emergence trajectory toward more job-congruent emotions. Collectively, these steps may facilitate the pre-emptive reduction of emotionally dissonant work episodes and bear substantive potential to be deployed synergistically with current, more reactive measures.

This paper offers a broadened perspective on emotional labor management. Through considering intricate processes of emotion emergence and established literature on emotion regulation, a pre-emptive perspective toward managing work emotions and emotional labor is propounded. It is believed that the synergistic incorporation of these pre-emptive management approaches with current strategies (e.g. reducing emotional demands, EAPs, etc.) would holistically allow for greater amelioration of this debilitating issue. Finally, it is hoped that this paper could serve as a primer for future research and discourses to be conducted, such that our arsenal available for combating emotional labor could be substantively expanded to holistically target all stages of the emotion emergence process.

Conceptual and empirical research over the past 20 years has moved the social media (SM) literature beyond the embryotic stage to a well-developed academic discipline. As the lead article in the special issue in the Journal of Research in Interactive Marketing on Cutting-Edge Research in Social Media and Interactive Marketing, this review and agenda article has two key goals: (1) to review key SM and interactive marketing research over the past three years and (2) to identify the next wave of high priority challenges and research opportunities.

Given the “cutting-edge” research focus of the special issue, this review and research agenda paper focused on articles published in 25 key marketing journals between January 2021 and March 2024. Initially, the search request was for articles with “social media, social selling, social commerce” located in the article title, author-selected key words and journal-selected keywords. Later, we conducted searches based on terminology from articles presented in the final review. In total, over 1,000 articles were reviewed across the 25 journals, plus additional ones that were cited in those journals that were not on the initial list.

Our review uncovered eight key content areas: (1) data sources, methodology and scale development; (2) emergent SM technologies; (3) artificial intelligence; (4) virtual reality; (5) sales and sales management; (6) consumer welfare; (7) influencer marketing; and (8) social commerce. Table I provides a summer of key articles and research findings for each of the content areas.

As a literature review and research agenda article, this paper is one of the most extensive to date on SM marketing, and particularly with regard to emergent research over the past three years. Recommendations for future research are integrated through the paper and summarized in Figure 2.

Consumer welfare is one of the eight emergent content areas uncovered in the literature review. Specific focus is on SM privacy, misinformation, mental health and misbehavior.