Hadi Kooshiar, Joy C. MacDermid, Dave M. Walton and Ruby Grewal
Screening for fall risks is an important part of fall and fracture prevention. This study aims to investigate cross-sectional inter-instrumental agreement and participants’…
Abstract
Purpose
Screening for fall risks is an important part of fall and fracture prevention. This study aims to investigate cross-sectional inter-instrumental agreement and participants’ preferences of the self-rated Falls Risk Questionnaire (FRQ) and Activities Specific Balance Confidence 6 items (ABC-6). This study also aimed to compare FRQ and ABC-6 scores in older adults with and without a history of falls.
Design/methodology/approach
Through an online and snowball sampling survey, 114 respondents were recruited from six countries. Respondents were asked to perform FRQ and ABC-6 surveys.
Findings
The mean respondent age was 67 years, and 44.8% reported falls in the past year. The mean of rescored FRQ and ABC-6 scores were 68.6% and 66.2%, respectively. The FRQ and ABC-6 scores for fallers were lower than non-fallers. Bland and Altman’s method indicated the mean −2.6 and two standard deviations 20.9 differences between ABC-6 and FRQ, which means an overall agreement between these tools. Most of the respondents, 36% had no preference between ABC-6 and FRQ, 34% preferred none, 21% preferred the ABC-6 and 9% preferred the FRQ for screening future falls risk.
Originality/value
Both ABC-6 and FRQ can distinguish between fallers and non-fallers, and findings of this study can be used to support the use of the FRQ for falls screening in older adults.
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Ruby P. Lee, Xinlin Tang and Xitong Guo
The rising opportunities in emerging countries have attracted numerous multinational corporations to invest in the new regimes. Knowledge management between headquarters and their…
Abstract
The rising opportunities in emerging countries have attracted numerous multinational corporations to invest in the new regimes. Knowledge management between headquarters and their foreign subsidiaries, thus, becomes particularly crucial in navigating host country environmental uncertainties. Despite its criticality, how foreign subsidiaries can benefit from effectively managing knowledge remains unclear. This study examines the extent to which market and technological turbulences influence two specific knowledge management platforms, knowledge transfer and knowledge codification, and subsequently, market responsiveness of foreign subsidiaries. Results from a survey of 140 foreign subsidiaries in China show that knowledge transfer and knowledge codification serve as two important platforms to mitigate the effects of environmental turbulence on local market responsiveness.
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Syagnik (Sy) Banerjee and Ruby Roy Dholakia
The purpose of this paper is to examine the differential effects of location‐based mobile advertisements on men and women in work leisure situations.
Abstract
Purpose
The purpose of this paper is to examine the differential effects of location‐based mobile advertisements on men and women in work leisure situations.
Design/methodology/approach
The study conducted was in a scenario based experimental design in the 2×2×2 ANOVA format. Independent variables included: Type of locations (private/public); Situations (work/leisure); and Gender (male/female). Dependent variables included Perceptions and Behavioural intentions.
Findings
Recent findings often indicate that men are more receptive to location‐based ads (LBA) than women. However, in this paper the authors show that in some circumstances women are more favourable to the same mobile LBAs than men because both women's and men's reactions depend on specific location and task situations.
Practical implications
Based on these findings, managers will be able to better target ads to specific genders in different locations and situations, thus maximizing the relevance of the ads, click through rates and affect cost per thousand impressions.
Originality/value
There has been little research on how men versus women react to LBAs based on their orientation towards different situations at hand. This research illustrates what differences exist in their perceptions of LBA and why.
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Mohammad Anas, Mohammed Naved Khan, Obaidur Rahman and S. M. Fatah Uddin
During coronavirus disease 2019 (COVID-19) pandemic, owing to several reasons, consumers behaved impulsively while shopping. Impulse buying has led to a distortion in the…
Abstract
Purpose
During coronavirus disease 2019 (COVID-19) pandemic, owing to several reasons, consumers behaved impulsively while shopping. Impulse buying has led to a distortion in the availability of various items in the stores. This study aims to explore the factors affecting the impulse buying behavior of consumers during a pandemic like COVID-19 in India.
Design/methodology/approach
Using an online questionnaire, 304 Indian consumers were surveyed using a convenience sampling technique. Proposed hypotheses and model were analyzed using structural equation modeling.
Findings
The study confirmed that fear and resource availability are the most significant factors affecting consumer’s impulse buying behavior during a pandemic. The findings suggest that retailers can minimize the consumer’s fear and manage impulse buying to their advantage by providing better resources to their patrons while they shop.
Originality/value
During the ongoing COVID-19 pandemic, in the context of businesses, it is being observed that the purchase preferences of consumers have become chaotic and significant swings are visible in their shopping behavior. Thus, the study is an attempt to shed light on the factors that affect consumer impulse buying behavior in such disruptive settings.
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Marco Hubert, Markus Blut, Christian Brock, Ruby Wenjiao Zhang, Vincent Koch and René Riedl
This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a…
Abstract
Purpose
This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context.
Design/methodology/approach
The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling.
Findings
Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application.
Research limitations/implications
Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes.
Originality/value
This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications.
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Igor de Jesus Lobato Pompeu Gammarano, Nikhilesh Dholakia, Emílio José Montero Arruda Filho and Ruby Roy Dholakia
This paper aims to the intricate relationship between digital influencers (DIs) and their followers, aiming to develop a comprehensive framework that explains how influence works…
Abstract
Purpose
This paper aims to the intricate relationship between digital influencers (DIs) and their followers, aiming to develop a comprehensive framework that explains how influence works in the digital world. It focuses on understanding the cultural aspects that shape these relationships in today’s global and digital marketplace.
Design/methodology/approach
This study employs a holistic methodology, intertwining historical, cultural and theoretical insights to decode the DI phenomenon. Applying a Grounded Theory approach, this paper coded articles into categories, developed abstract concepts and refined them through cycles of literature collection and analysis that allowed identifing gaps in the Influencer Marketing field. This comprehensive review and inductive analysis of globalization, mediated communication and digital interactions aim to unravel the intricacies of digital and virtual influence. This paper’s theoretical development advances propositions that dissect the facets influencing digital adoption, usage, interest and value perception, leading to a detailed model of digital influence grounded in both theory and real-world examples.
Findings
This research uncovers the significant impact DIs have, driven by global connections and the way we communicate in the digital age. Historical context situates DIs within the broader narrative of mediated persuasive communication. A preliminary typology of DIs and influence contexts forms the foundation for further exploration.
Research limitations/implications
This study enhances the discussion around DIs by considering the influence of technology and culture together. It draws from the thoughts of leading thinkers on how technology connects us, providing a strong foundation for future studies.
Practical implications
As digital influence and the surrounding technology continue to change, it’s important to think critically about these trends. This research offers valuable insights for businesses looking to navigate the digital landscape effectively, helping them make better strategic decisions about their online presence.
Originality/value
This study breaks new ground by offering a detailed categorization of DIs and proposing a fresh way to understand their role. It links important ideas from the past about persuasion through media to the current state of digital influence, offering insights into how digital trends might affect communication strategies.
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Mohammad AlMarzouq, Abdullatif AlZaidan and Jehad AlDallal
This study aims to highlight the challenges and opportunities of using GitHub as a data source in both research and programming education.
Abstract
Purpose
This study aims to highlight the challenges and opportunities of using GitHub as a data source in both research and programming education.
Design/methodology/approach
This study provides general overview of the challenges and opportunities faced while conducting empirical research using GitHub as a data source. The challenges and opportunities are framed using the input–process–output model of open-source software.
Findings
GitHub data accessed from the application programming interface (API) can have several limitations, which can be overcome by Web scraping and using external data repositories such as GHArchive and GHTorrent. There are also several idiosyncrasies about GitHub that researchers need to be aware of to be able to use the data effectively, which can represent an opportunity for research. The challenges and opportunities are summarized for the licenses, community, development process and product of free/libra and open-source software communities hosted on GitHub.
Originality/value
This study provides a summary of GitHub-related challenges and opportunities that researchers can leverage to improve their empirical research. Furthermore, this summary can be a valuable resource for instructors that plan to use GitHub as a data source in their data-focused programming courses.
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Ruby Wenjiao Zhang, Xiaoning Liang and Szu-Hsin Wu
While the proliferation of chatbots allows companies to connect with their customers in a cost- and time-efficient manner, it is not deniable that they quite often fail…
Abstract
Purpose
While the proliferation of chatbots allows companies to connect with their customers in a cost- and time-efficient manner, it is not deniable that they quite often fail expectations and may even pose negative impacts on user experience. The purpose of the study is to empirically explore the negative user experience with chatbots and understand how users respond to service failure caused by chatbots.
Design/methodology/approach
This study adopts a qualitative research method and conducts thematic analysis of 23 interview transcripts.
Findings
It identifies common areas where chatbots fail user expectations and cause service failure. These include their inability to comprehend and provide information, over-enquiry of personal or sensitive information, fake humanity, poor integration with human agents, and their inability to solve complicated user queries. Negative emotions such as anger, frustration, betrayal and passive defeat were experienced by participants when they interacted with chatbots. We also reveal four coping strategies users employ following a chatbots-induced failure: expressive support seeking, active coping, acceptance and withdrawal.
Originality/value
Our study extends our current understanding of human-chatbot interactions and provides significant managerial implications. It highlights the importance for organizations to re-consider the role of their chatbots in user interactions and balance the use of human and chatbots in the service context, particularly in customer service interactions that involve resolving complex issues or handling non-routinized tasks.