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The purpose of this paper is to examine the impact of three types of perceived healthiness (physical, psychological and economic health) on restaurant consumption activities among senior consumers.

Data were collected from 325 restaurant customers in the USA through a Web-based survey conducted by an online marketing research firm. Following previous studies’ categorization of senior consumers, this study distinguished between “senior consumers” (age 60 or older) and “younger consumers” (age 39 or younger) to better compare different age-related behaviors. A series of two-way ANOVA was conducted for dining-out frequency and the number of choice sets.

The results revealed that senior diners’ perceptions of healthiness are critical in determining senior consumers’ restaurant behaviors, such as information processing and purchasing behaviors. The results provide evidence that seniors with a positive perception of their physical and psychological status seek a greater number of alternative restaurant choices, which is actively related to purchasing frequency.

The managerial implications indicate that restaurant marketers should avoid stereotypes and instead rely on more recent and accurate information regarding today’s senior consumers.

The position taken in this study recognizes the need to enhance the understanding of senior consumers’ patterns regarding their perceived physical, psychological and economic health. To the best of authors’ knowledge, this is the first attempt to investigate the impact of three types of health on seniors’ dining behaviors.

Many companies are trying to acquire innovative technologies and relevant knowledge by sending R&D work overseas. Although recent research has been focusing on the aspects that motivate MNCs to establish offshore R&D facilities, such as cost reduction and market expansion, little is known about external or circumstantial factors influencing the performance of global R&D activities. Searching for enhancers of offshore R&D facilities, we investigated the relationships between the performance of offshore R&D and the technological capabilities of a parent company, its home country, and its R&D hosting country. Both patent data of EU and the EU R&D scoreboard of 134 overseas R&D labs from 46 MNCs, dating from the period of 2003 to 2005, are used in the analysis. The same time period is applied in calculating the RTA of each country. Regression analysis results support our main hypothesis that the technological capabilities of the parent company and the hosting country positively affect the performance of overseas R&D.

The purpose of this paper is to determine hidden drivers of electronic word-of-mouth (eWOM) by modeling attributes of self-relevant and quality-relevant values. This is a meaningful extension of previous consumer behavior research regarding the association of eWOM and self-constructs.

An on-site survey was conducted to collect data. Statistical analyses, including structural equation modeling and multigroup analysis, were used to empirically examine which factors significantly influence café customers to engage in eWOM.

The study found significant drivers of eWOM intentions by examining self-relevant values connected with the café, such as conveying reflected appraisal of self, conspicuous presentation and self-image congruity beyond the simple evaluation of service quality. The moderating effect of consumer opinion leadership on the relationships between those drivers and eWOM intentions was also investigated.

The results demonstrated that consumers’ self-construal value was a salient diver of eWOM intentions rather than service quality value itself. However, the findings showed that these service qualities positively influenced opinion leaders’ eWOM intentions to generate information. This makes an important contribution by providing practical messages for foodservice operators to develop more effective marketing strategies.

The present research extends our understanding of the drivers of eWOM beyond the idea that eWOM simply reflects perceived quality evaluations. The authors found that consumers can construct a self-identity and present themselves to others in the virtual world by showing “what they eat or experience”.

Although Leader-Member Exchange (LMX) has been studied within the domain of organizational psychology, it has not received major attention from information systems literature and researchers. Drawing on LMX theory and the theory of reasoned interaction, this study investigates the roles of LMX, individual member's attitude toward system adoption, supervisor influence and goal commitment on mandatory system implementation. Specifically, our model investigates the moderating role of LMX and how it can be interpreted for an individual member's system adoption in an organization.

Partial least square (PLS) technique with the field survey of 148 participants was used for this analysis.

The empirical test results in the field setting show that attitude and supervisor influence positively affect goal commitment in the system implementation. Furthermore, LMX is a significant moderator between attitude and goal commitment within organizations, but this moderating effect is not valid in the relationship between supervisor influence and goal commitment since it is a more complex process influenced by variables other than supervisor influence.

The results showed that the model in this research has high explanatory and predictive power and is valuable in offering insights and guidance for implementers initiating technology-related changes within organizations.

This study aims to investigate how college students' personal information behaviors were impacted by contexts, resource types and perceptions of personal information management.

Using an online survey, a total of 1,194 valid responses were collected from college students. The three contexts used for this study include academic, health and personal digital history. Specific scenarios, along with sets of resource types, were provided for each context.

The findings show that college students' perceptions and contexts strongly influence their activities related to personal information, and that resource types impact their activities depending on the context in which the resource types are situated. The findings of this study provide evidence of how varying factors influence personal information behaviors at different levels. Information professionals need to design their services and programs in a way that is cognizant of the factors that influence users and the challenges that users meet with in different contexts and resource types.

The findings of this study contribute to personal information research by providing an understanding of how context, perceptions and resource types intertwiningly influence personal information behaviors. This study provides an insight into widely accepted patterns and perceptions of personal information behavior with particular information resource types and within specific contexts.

The purpose of this paper is to examine the effects of interaction techniques (e.g. swiping and tapping) and the range of thumb movement on interactivity, engagement, attitude, and behavioral intention in single-handed interaction with smartphones.

A 2×2 between-participant experiment (technological features: swiping and tapping×range of thumb movement: wide and narrow) was conducted to study the effects of interaction techniques and thumb movement ranges.

The results showed that the range of thumb movement had significant effects on perceived interactivity, engagement, attitude, and behavioral intention, whereas no effects were observed for interaction techniques. A narrow range of thumb movement had more influence on the interactivity outcomes in comparison to a wide range of thumb movement.

While the subject of actual and perceived interactivity has been discussed, the issue has not been applied to smartphone. Based on the research results, the mobile industry may come up with a design strategy that balances feature- and perception-based interactivity.

This study adopted the perspective of the hybrid definition of interactivity, which includes both actual and perceived interactivity. Interactivity effect outcomes mediated by perceived interactivity.

The purpose of this paper is to empirically test whether individuals’ internal factors (prior knowledge, resources, and capability) and environmental factors (stimuli, limitation) have any influence on the development of personal health information management (PHIM) literacy skills and which constructs are statistically associated with general health-related outcomes.

Survey responses were collected from Amazon’s Mechanical Turk (mTurk), a crowdsourcing internet service, in December 2013. A total of 578 responses were analyzed using partial-least squares structural equation modeling technique.

The model as a whole exhibited 62.8 percent of variance in health-related outcomes. The findings suggest that prior knowledge has a direct effect on health literacy (HL) skills (H3: β=0.212, p<0.001). The PHIM stimuli (H4: β=0.475, p<0.001) have a direct impact on HL skills, and they have an indirect effect on the comprehension of stimuli (H6: β=0.526, p<0.001) through the mediator of stimuli and the knowledge variable.

One possible limitation of this study is that the study may include a highly technology literate group, as survey respondents were recruited from the online service mTurk.

The study poses implications for further research and practice. This research was an exploratory work for further model development so future studies should investigate deeper into real personal health record (PHR) user groups (e.g. patients and caregivers). For example, studies by White and Horvitz (2009a, b) conducted real-time user studies that the authors could apply to the authors’ future PHR studies. Since the findings cannot be generalizable to these specific groups, similar research may be conducted. Using caregiver groups of PHR users in comparison to patient groups could determine the similarities and differences of their PHIM activities and related outcomes for optimal design of self-care management.

Further, it is suggested to conduct large scale, real-time-based studies using a PHR transaction log analysis to achieve conclusiveness and generalizability. Additionally, future studies should address not only diverse real-time user groups, but also various PHR data sources and their presentation issues.

This study model offers an important perspective on PHIM and its causal pathway for use not only by patient educators and healthcare providers but also information providers, personal health record (PHR) system developers, and PHR users.

The purpose of this paper is to investigate the associations of personal archiving behaviors to factors and challenges that have been assumed to affect personal digital archiving strategies.

This study created an online survey to understand general patterns of personal digital archiving practices and related phenomena. The survey was employed to investigate to what extent people show a certain behavior or feel certain factors and challenge when archiving personal digital content.

Some of the findings of this study regarding specific personal digital archiving practices were in accordance with existing studies. However, the associations between digital archiving challenges and archiving practices were not observed statistically significantly as assumed in previous studies. General technology efficacy and the awareness of the importance of personal records appeared to influence personal archiving practices.

This study used Amazon’s Mechanical Turk. As this is not a commonly used internet service, the workers here could have higher than average levels of internet efficacy. This possibility may have affected the demographics, and the survey responses may be biased in this respect.

As the study results suggest that technology efficacy and personal heritage awareness are the influencing factors of personal digital archiving, these are the areas where information professionals can involve in assisting users for future cultural heritage.

This is the first study that develops measures for personal digital archiving related practices and perceptions that the previous qualitative studies have identified. With these measures, it examines the general status of individuals’ archiving strategies and the overall associations of digital archiving challenges as well as looking into other technological and personal factors.

This study quantified companies' views on the COVID-19 pandemic with sentiment analysis of US public companies' disclosures. The study aims to provide timely insights to shareholders, investors and consumers by exploring sentiment trends and changes in the industry and the relationship with stock price indices.

From more than 50,000 Form 10-K and Form 10-Q published between 2020 and 2021, over one million texts related to the COVID-19 pandemic were extracted. Applying the FinBERT fine-tuned for this study, the texts were classified into positive, negative and neutral sentiments. The correlations between sentiment trends, differences in sentiment distribution by industry and stock price indices were investigated by statistically testing the changes and distribution of quantified sentiments.

First, there were quantitative changes in texts related to the COVID-19 pandemic in the US companies' disclosures. In addition, the changes in the trend of positive and negative sentiments were found. Second, industry patterns of positive and negative sentiment changes were similar, but no similarities were found in neutral sentiments. Third, in analyzing the relationship between the representative US stock indices and the sentiment trends, the results indicated a positive relationship with positive sentiments and a negative relationship with negative sentiments.

Performing sentiment analysis on formal documents like Securities and Exchange Commission (SEC) filings, this study was differentiated from previous studies by revealing the quantitative changes of sentiment implied in the documents and the trend over time. Moreover, an appropriate data preprocessing procedure and analysis method were presented for the time-series analysis of the SEC filings.

This study aims to provide measurable information that evaluates a company’s ESG performance based on the conceptual connection between ESG, non-financial elements of a company and the UN Sustainable Development Goals (SDGs) for resolving global issues.

A novel data processing method based on the BERT is presented and applied to analyze the changes and characteristics of SDG-related ESG texts from companies’ disclosures over the past decade. Specifically, ESG-related sentences are extracted from 93,277 Form 10-K filings disclosed between 2010 and 2022 and the similarity between these extracted sentences and SDGs statements is calculated through sentence transformers. A classifier is created by fine-tuning FinBERT, a financial domain-specific pre-trained language model, to classify the sentences into eight ESG classes.

The quantified results obtained from the classifier reveal several implications. First, it is observed that the trend of SDG-related ESG sentences shows a slow and steady increase over the past decade. Second, large-cap companies relatively have a greater amount of SDG-related ESG disclosures than small-cap companies. Third, significant events such as the COVID-19 pandemic greatly impact the changes in disclosure content.

This study presents a novel approach to textual analysis using neural network-based language models such as BERT. The results of this study provide meaningful information and insights for investors in socially responsible investment and sustainable investment and suggest that corporations need a long-term plan regarding ESG disclosures.