Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source.
Cheol Park (Ph.D. in Business Administration) is a Professor at Korea University, South Korea. He received his B.A. in Economics, M.B.A. and Ph.D. from Seoul National University. He worked for Samsung as assistant manager of global marketing before joining academic area. He has been a visiting scholar at Vanderbilt University, University of Hawaii, and Mongolia International University. His research interests include marketing in digital environment and sustainable management with creating social value. He has published papers in influential journals such as International Marketing Review, Journal of Business Research, Industrial Marketing Management, and Journal of Interactive Marketing.
Title: Adoption of Autonomous Systems embedded with ambient intelligence in Personal Care of Elderly: The Issue of Technology’s Trustworthiness
Abstract: An autonomous homecare system can ensure
independence for elderly people and increase cooperation,
social interaction, and adaptation. Widespread diffusion and
inclusion of information and communication technology (ICT)
in modern equipment since the final decades of the twentieth
century has advanced the concept of machine autonomy. As a
result, the technological advancements in current years
(such as Care robots, emotional companion robots, smart home
products, and wearable devices) look like a promising
solution to the acute shortage of elderly support/care
workers. Our research program focuses on understanding the
adoption behavior of the elderly in adopting these
technological devices.
In our recent research published in “The Journal of
Technological Forecasting & Social Change (2021)” we studied
the elderly’s behavioral intention to adopt in terms of
their trust in such devices as a replacement of human
care/support. Now we focus on how trust and personal
characteristics can improve the intent to adopt autonomous
systems. Here we study how the psychological resistance
factors and trust generating factors affect the technology
adoption decisions of elders. The effects of age, gender,
income, past employment, and lifestyle, as moderating
variables, on the relationship between the independent
variables (the psychological resistance factors and trust
generating factors) with the dependent variable (technology
adoption intention) are also being studied in this research.
Dr. Vinod Kumar is a Chancellor's Professor of Technology and Supply Chain Management of the Sprott School of Business (Director of Sprott School, 1995-2005), Carleton University, Ottawa, Canada. Dr. Kumar has published over 400 articles in refereed journals and proceedings other than publishing dozens of books and monographs; his articles have been cited over 9000 times. He has won several Best Paper Awards in prestigious conferences, Scholarly Achievement Award of Carleton University for the academic years 1985-86 and 1987-88, Research Achievement Award for the year 1993, 2001, 2007 and 2015, and the Graduate Mentoring Award in 2011. Dr. Kumar has widely consulted industry and government. He is co-editor of one, associate-editor of another and on the editorial board of six International Journals. In addition, Dr. Kumar has also served for several years on the Board of Governors and the Senate for Carleton University and on the Board of the Ontario Network of e-Commerce.
Dr. Kumar’s research interests are in optimizing performance of operation systems; supply chain sustainability; technology transfer; new product development; technology adoption; e-commerce applications and e-Government. He is on Canadian Who’s Who since last several years. Personal website:
www.carleton.ca/vkumar
Title: Factors Influencing the Helpfulness of Online Reviews in Global Hotel Industry
Abstract: Online reviews are a trusted source of
information and reduce the uncertainty associated with
purchasing decisions. For example, 86% of consumers read
reviews for local businesses, and potential customers
frequently consult online reviews for restaurants,
cafes, and accommodation. However, recent research has
shown that information overload is a genuine concern due
to the rapidly increasing volume of electronic word of
mouth (eWOM) information and confusion over conflicting
reviews. In this context, potential customers seek those
product reviews that are particularly helpful in terms
of informing their specific purchase decisions. A
helpful review is defined as “a peer-generated product
evaluation that facilitates the consumer's purchase
decision process". In this context, research on review
helpfulness is important because the helpfulness of a
review determines how strongly it affects consumer
decision making.
This study investigated the effect of review, reviewer,
and corporate factor on review helpfulness and the role
of the cultural dimension in moderating these
relationships. The research model was built upon the
theoretical basis of the elaboration likelihood model
and information adoption model. To empirically analyze
our research model, 10,611 TripAdvisor review data from
9 countries were collected. In addition, the
zero-inflated negative binomial model and multilevel
analysis were performed in consideration of the data
characteristics and level differences. The results show
that review depth has a positive effect on review
helpfulness, and review ratings and reviewer expertise
have a negative effect. As corporate factors, hotel size
has a negative effect on review helpfulness. In
addition, review ratings, reviewer expertise, and hotel
rating show significant differences in the moderating
effects of the tendency to uncertainty avoidance and
power distance level.