Kateryna V. Ligon, Kevin B. Stoltz, R. Kevin Rowell and Vance Johnson Lewis
The basis of this study is Kelley’s (1992) two-dimensional model, which measures five follower types. Previous investigations did not support the validity of Kelley’s model…
Abstract
The basis of this study is Kelley’s (1992) two-dimensional model, which measures five follower types. Previous investigations did not support the validity of Kelley’s model. Although the model is utilized in research, the validity and reliability of the Kelley Followership Questionnaire (KFQ) is still in question. In this study, the KFQ validity was tested after revision of the instrument. Factor analysis revealed a three-factor model disputing the theorized two-factor model. Factors of the KFQ-R convergent validity were supported by significant correlations with critical thinking disposition and work engagement scales. This research project is intended to promote the study of the followership construct.
Kevin J. Leonard, Doreen Wilson and Olga Malott
Although marketing does not play a large role in the Canadian health‐care system, acute care facilities have been conducting patient satisfaction surveys as a quality measurement…
Abstract
Although marketing does not play a large role in the Canadian health‐care system, acute care facilities have been conducting patient satisfaction surveys as a quality measurement tool for a number of years. More recently those in the long‐term care system have expressed an interest in this concept. This study set out to determine if long‐term care facilities in the Ministry of Health, Ontario Central West Region, conduct consumer satisfaction surveys. If they do, the study asked how the information is utilized and, if they do not, why not. This paper will highlight issues of service quality, health‐care quality and health‐care consumer satisfaction. This study is focused on long‐term care; however, the majority of the available research and information pertains to the acute care system. Although the principles of quality measurement and consumer satisfaction are the same for acute and long‐term care, our findings will identify the unique ways in which these principles apply to the long‐term care system.
Details
Keywords
Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined…
Abstract
Purpose
Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined in prior studies, but current research has not gone far enough in examining how AI is framed on social media. This paper aims to fill this gap by examining how people frame the futures of work and intelligent machines when they post on social media.
Design/methodology/approach
We investigate public interpretations, assumptions and expectations, referring to framing expressed in social media conversations. We also coded the emotions and attitudes expressed in the text data. A corpus consisting of 998 unique Reddit post titles and their corresponding 16,611 comments was analyzed using computer-aided textual analysis comprising a BERTopic model and two BERT text classification models, one for emotion and the other for sentiment analysis, supported by human judgment.
Findings
Different interpretations, assumptions and expectations were found in the conversations. Three subframes were analyzed in detail under the overarching frame of the New World of Work: (1) general impacts of intelligent machines on society, (2) undertaking of tasks (augmentation and substitution) and (3) loss of jobs. The general attitude observed in conversations was slightly positive, and the most common emotion category was curiosity.
Originality/value
Findings from this research can uncover public needs and expectations regarding the future of work with intelligent machines. The findings may also help shape research directions about futures of work. Furthermore, firms, organizations or industries may employ framing methods to analyze customers’ or workers’ responses or even influence the responses. Another contribution of this work is the application of framing theory to interpreting how people conceptualize the future of work with intelligent machines.